Skip to main content
Psicologia: Reflexão e Crítica
Download PDF

Irrelevant sound interference on phonological and tonal working memory in musicians and nonmusicians

Psicologia: Reflexão e Crítica volume 32, Article number: 2 (2019) Cite this article

Abstract

Background

Working memory refers to the cognitive system responsible for the temporary storage and maintenance of information, but it remains controversial whether overlapping processes underlie the temporary retention of verbal and musical information such as words and tones.

Methods

Participants with little or no musical training (n = 22) and professional musicians (n = 21) were administered four memory tasks. Two tasks (tone sequence recognition and pseudoword sequence recall) aimed at comparing groups’ performance for tonal or phonological material separately. Other two memory tasks investigated pseudoword and tone recognition under three conditions during the retention interval (silence, irrelevant words, or irrelevant tones).

Results

Musicians were better than nonmusicians in tone sequence recognition but not in pseudoword sequence recall. There were no interference effects of irrelevant tones or words on pseudoword recognition, and only irrelevant tones significantly interfered with tone recognition.

Conclusions

Our results offer further support that tone recognition is specifically impaired by irrelevant tones, but irrelevant words did not disrupt pseudoword or tone recognition. Although these results do not reflect a double-dissociation pattern between phonological and tonal working memory, they provide evidence that temporary retention of tonal information is subject to specific tonal interference, indicating that working memory for tones involves specific processes.

Background

The concept of working memory (WM) refers to the cognitive system responsible for the temporary storage and processing of information (Baddeley, 2007, 2012). A controversial issue is whether overlapping processes underlie the temporary retention of verbal and musical information such as words and tones (Alley & Greene, 2008; Atherton et al., 2018; Baddeley, 2012; Benassi-Werke et al., 2012; Koelsch et al., 2009; Schendel & Palmer, 2007; Schulze & Koelsch, 2012; Schulze et al., 2011; Williamson et al., 2010a; Williamson et al., 2010b). Although some authors had initially claimed that memory for tones requires specific processes (Berz, 1995; Deutsch, 1970), tonal memory seems to be linked to musical expertise and a clear dissociation between phonological and tonal WM may be not apparent in nonmusicians (Pechmann & Mohr, 1992; Schulze & Koelsch, 2012; Schulze et al. 2011; Williamson et al., 2010a).

The interference paradigm provides a basis for investigating whether overlapping or dissociated processes underlie the temporary retention of phonological and tonal information (Williamson et al., 2010b). That is, the concurrent presentation of specific types of auditory material (such as speech or music) during WM tasks may shed light on the cognitive resources shared by the WM task and the processing of distracting stimuli. In the present study, we investigated recognition memory for phonological and tonal stimuli under different conditions of distracting stimuli (irrelevant words or tones).

Research on this topic typically requires the serial recall of visually presented linguistic items that are studied in a silent condition or with the simultaneous presentation of irrelevant sounds (tones, speech, vocal, or instrumental music) that the participants are instructed to ignore. The findings showed that WM performance is impaired significantly by irrelevant speech, whether from the same or different language as the memorized words (Colle & Welsh, 1976; Salame and Baddeley, 1982), and that interference does not depend on the phonological similarity between memorized and interpolated items (Jones & Macken, 1995; Larsen et al., 2000; LeCompte & Shaibe, 1997; but see Eagan & Chein, 2012). In addition, phonological WM is also impaired by tones, vocal, and instrumental music (Alley & Greene, 2008; Iwanaga & Ito, 2002; Jones & Macken, 1993, 1995; Salamé & Baddeley, 1989).

The source of irrelevant sound interferences (by verbal or musical stimuli) has been considered controversial and may be related to different processes (Baddeley, 2007, 2012; Chein & Fiez, 2010; Eagan & Chein, 2012; Jones & Tremblay, 2000). One possibility may be that irrelevant sounds somehow disrupt phonological codes within WM (interference-by-content), but interferences seem to concern serial order processes (interference-by-process), that is, irrelevant changing sounds are likely to interfere with seriation processes in WM (Beaman & Jones, 1997, 1998; Jones & Macken, 1993; Jones et al., 1992; Jones & Tremblay, 2000; Page & Norris, 2003; Tremblay et al., 2012). In fact, there is scarce evidence that irrelevant speech may be associated with interference-by-content in phonological WM, for example, by disrupting the representation of a single verbal stimulus (e.g., a word or a pseudoword) rather than of a sequence of stimuli. Eagan and Chein (2012) found that a high-overlap of phonetic features between the memorized and interpolated verbal sequence produced the stronger memory disruption in comparison with the low-overlap condition. Atherton et al. (2018) found that the recognition of a single word is disrupted more strongly by interpolated words than by musical chords. The results from both studies support the view that phonological WM may also be prone to trace disruption and interference-by-content. In the present study, we further investigated this issue by using a pseudoword recognition task with interpolated words or tones. That is, by using a phonological WM task without a serial order component, the possibility of interference-by-process was reduced, and we could search for evidence of interference-by-content.

When it comes to the temporary retention of nonlinguistic-auditory information such as tones, there is evidence for a highly specific type of auditory interference without a serial order memory component. Deutsch (1970) used a recognition procedure in which one tone was presented for memorization, followed by a retention interval of 5 s and the presentation of a test tone. The participants were instructed to ignore a sequence of six tones or digits presented during the retention interval. The results showed that only interpolated tones led to a higher rate of errors, while few errors occurred with interpolated digits. A subsequent study by Pechmann and Mohr (1992) employed a similar tone recognition procedure and compared retention intervals filled either with irrelevant tones, speech, or visual material, under both attended and unattended conditions. Interestingly, they also compared musicians and nonmusicians to investigate whether the findings could be generalized to populations differing in musical expertise. For both groups of participants, the irrelevant tones disrupted tone recognition in a similar way, but only for nonmusicians, the interpolated verbal (both attended and unattended conditions) and visual material (only attended condition) had disruptive effects, indicating that tone recognition was disrupted both by attentional and modal interference.

Following the account by Deutsch (1970) and Pechmann and Mohr (1992), one possibility is that disruption of tone recognition results from retroactive interference by interpolated tones on the memorized tone. Another possibility is that disruption results from perceptual processes, such as grouping (temporal proximity) and coherence (spectral similarity), that organize the incoming sounds into perceptual streams, reflecting on the representations within memory and impacting on the retrieval of items within or between streams (Jones et al., 1997). In fact, Jones et al. (1997) found evidence that temporal proximity and spectral similarity influence the level of disruption by interpolated verbal and tonal stimuli (see also Semal et al., 1996); nevertheless, disruption was still significant even after reducing perceptual grouping, suggesting that it may also derive from interference on memory codes, for example, by feature overwriting and updating (Mercer & McKeown, 2010a, 2010b). In sum, evidence indicates that tone recognition is prone to interference-by-content.

More recently, Williamson et al. (2010b) developed a visual-auditory recognition task in which sequences of letters and musical notes were presented visually in a computer display, the participants (amateur musicians) being instructed to encode the visual stimuli into an auditory format in their minds. The retention interval was followed by an auditory sequence (spoken letters or musical tones) for a same or different judgment. The results showed a double-dissociation pattern, that is, irrelevant tones impaired performance for tonal stimuli, whereas irrelevant speech impaired performance for verbal stimuli, suggesting that different processes are involved in the retention of musical and verbal information, at least in the case of musicians. However, it is difficult to generalize such results to individuals without musical knowledge as the experimental procedure involved visual presentation of musical notes and required the knowledge of musical notation. Finally, Atherton et al. (2018) investigated the recognition of a single word or chord in conditions of silence or irrelevant words or chords during the retention interval, and their results showed strong interference effects from matching irrelevant stimuli (i.e., word-words and chord-chords), although mismatching irrelevant stimuli (word-chords and chord-words) produced a smaller significant interference, indicating that the cognitive resources implied in word and chord recognition partially overlap.

In sum, the hypothesis that working memory has dissociated systems for tonal and phonological information deserves additional investigation, for example, by using tonal and phonological recognition tasks without a serial order component, as irrelevant sound interference has been observed in simple recognition tasks in tonal memory, but with multiple stimuli in free or serial recall of word lists. Furthermore, the comparison between musicians and nonmusicians is particularly important to allow a better understanding about the generality of any eventual interference effects in populations differing in musical expertise. This issue is relevant because musical expertise may affect not only the degree of performance in verbal and tonal tasks, but also the degree of susceptibility to interference by irrelevant stimuli. In fact, evidence shows that musical training is associated with better performance in a range of musical and cognitive tasks, including verbal memory and executive functions (Chan et al., 1998; Franklin et al., 2008; George & Coch, 2011; Hansen et al., 2013; Ho et al., 2003; Jakobson et al., 2008; Roden et al., 2014).

In the present study, we investigated whether a double-dissociation pattern would emerge using recognition tasks (without a serial order component) for tone or pseudoword under conditions of silence, speech, or tonal interference. A pseudoword recognition task seemed adequate because pseudowords are word-like verbal stimuli without meaning representation in long-term memory, so that recognition is likely to be phonologically based. In this way, it was possible to test whether irrelevant sounds (specially speech) may disrupt phonological codes within the phonological store. According to the double-dissociation hypothesis of separate phonological and tonal WM components, tone recognition would be impaired by irrelevant tones and not by irrelevant words; conversely, pseudoword recognition would be impaired by irrelevant words and not by tones.

Method

Ethics

The present study was conducted in accordance with the national legislation regarding the assessment of human volunteers. Ethical approval for the present study was given by the University of São Paulo FFCLRP Research Ethics Committee (process number 081/2002 – 2002.1.1709.59.7).

Participants

The sample size was defined prior to data collection to include at least 18 participants per group. A total of 43 individuals participated in this study. Twenty-two nonmusicians (mean age = 25.5 years, SD = 6.9), undergraduate and graduate students reporting little or no experience with a musical instrument, were recruited in the university campus (mean years of musical experience = 1.7, SD = 2.2). Twenty-one musicians (mean age = 29.5 years, SD = 10.6) were recruited in local conservatories and universities: Only professional musicians with a minimum of 5 years uninterrupted of practice with musical instruments were selected (mean years of musical experience = 19.4, SD = 11.1), and these criteria are in line with the specialized literature in music psychology (Zhang, Susino, McPherson, & Schubert, in press). In this group, the musicians’ principal instruments were piano (n = 9), guitar or electric guitar (n = 6), bass (n = 2) accordion (n = 1), keyboards (n = 1) saxophone (n = 1), and violin (n = 1). Musicians reporting absolute pitch were not included in the sample.

We ensured that participants met specific criteria to enter the study: they were not on medication, did not report any neurological or psychological problem, and had normal hearing according to the audiological assessment. Pure-tone threshold audiometry was conducted according to the American Speech-Language-Hearing Association (ASHA) guidelines (ASHA, 1978). Air-conduction thresholds were measured for each ear at frequencies of 0.25, 0.5, 1, 2, 3, 4, 6, and 8 kHz. The participants with thresholds up to 25 dB in all the given frequencies were considered without hearing loss (Davis & Silverman, 1978). In addition, speech audiometry was conducted to assess speech recognition threshold (SRT) and speech discrimination score (Pereira & Schochat, 1997; Santos & Russo, 1986). An SRT value up to 10 dB above the participant pure-tone threshold was considered within normality. Speech discrimination was performed 40 dB above the participant pure-tone threshold, and it was expected a score of correct responses equal to or greater than 92%. In total, four individuals who volunteered to participate were not included in this study, two of them for presenting some degree of hearing loss (and they were advised to consult a specialist) and two of them for being amateur rather than professional musicians.

Materials and procedure

The experimental instructions and all the verbal stimuli were recorded in a silent room by a female speaker, and the tonal stimuli (sine tones) were generated by a computer program. The audio files and experimental procedures were edited and presented using a laptop computer and earphones.

The experimental session had an average duration of 60 min. The participant received general information about the study, signed a consent form, answered questions about the inclusion criteria, and underwent audiological evaluation. If the inclusion criteria were met, the participant performed four memory tasks. Two main tasks were aimed at investigating tone and pseudoword recognition under interference conditions. Other two tasks were included for assessing the participants’ memory for tones and pseudowords separately: tonal sequence recognition and pseudoword sequence recall (since a pilot study showed that performance would be at ceiling levels with a pseudoword sequence recognition procedure). The order of presentation of the memory tasks was counterbalanced in a way that verbal and tonal tasks were presented alternately. At the beginning of each memory task, the participant read and heard the instructions and performed practice trials. Each trial started with a warning tone (4000 Hz for 50 ms), followed by a silent interval of 950 ms and the presentation of stimuli. The participants gave their answers verbally. The answers were tape-recorded, and the experimenter registered it on a response sheet immediately for later scoring. The experimenter was not blind to the correct answers.

Tonal sequence recognition

This task comprised the presentation of two sequences of seven sine tones separated by a silent interval of 3 s, and the task was to judge if the two sequences were the same or different. Each tone was presented for 300 ms, with an interstimulus interval of 50 ms. The tones were from the second and third octaves, and the frequency interval between consecutive tones in the sequences did not follow any specific musical rules (i.e., sequences with strong tonal structure were avoided, cf. Croonen, 1994), so that they would not be easily recognized by musicians. Each sequence consisted in an ascendant melodic line followed by a descendent one. In addition to two practice sequences, 14 sequences were used as stimuli in a total of 28 trials (see Appendix 1 for the stimuli). In half of the trials, the probed sequences were the same as the memorized sequences; in the other half, one single tone in the probed sequence changed. Changes could occur at any serial position with equal probability, and the different tone was always three semitones (above or below) from the original one. The number of correct responses (i.e., the number of correct “same” and “different” answers) was computed for statistical analysis.

Phonological sequence recall

In this task, a sequence of pseudowords was presented and then the participant was asked to repeat it back verbatim. Only disyllabic pseudowords were used and sequence length varied from two to six items, with two trials for each level of difficulty following a memory span procedure (see Appendix 2 for the list of stimuli). If the participant was able to repeat correctly at least one sequence of a given length, the two sequences of the following length were presented; otherwise, the testing stopped. The mean number of pseudowords recalled correctly was computed for statistical analysis.

Tonal and phonological recognition under irrelevant stimuli conditions

In these tasks, one stimulus was presented for memorization and the probe stimulus was presented after a retention interval of 5000 ms. There were three blocked experimental conditions during the retention interval (silence, irrelevant tones, and irrelevant speech). In the tonal recognition task, twelve pairs of sine tones each one lasting 200 ms were created for the experimental conditions. The tones for memorization were twelve notes: A3, A#, B3, C#3, C4, D#3, D3, E3, F#3, F3, G#3, and G3. In half of the trials, the probe was the same tone as the previously heard, and in the other half, it differed from it in one semitone (above or below) (see Appendix 3). In the pseudoword recognition task, twelve pairs of multisyllabic pseudowords (mean duration = 1500 ms) composed of simple consonant-vowel syllabic structure were elaborated for the experimental conditions, and in half of the trials, there was a slight phonetical difference between the pseudowords of a pair (see Appendix 4). In specific, the consonants of the central syllable differed in two types of phonetic features—place of articulation (e.g., bilabial, linguodental etc.) and voice (vibration or not of the vocal folds). For example, a central syllable “pa” became “da,” that is, the consonant [p] [bilabial, −voice] was substituted for [d] [linguodental, +voice]. In this way, the recognition task required the evaluation of the overall auditory-phonetical pattern of the pseudowords.

The presentation of irrelevant stimuli begun 300 ms after the offset of the main stimulus and ended 2000 ms before the probe stimulus (cf. Deutsch, 1970; Pechmann and Mohr, 1992). In the irrelevant tones condition, six tones of 200 ms separated by 300 ms were presented during the retention interval, and none of them were the same as the memorized tone within the same trial (see Appendix 3). In the irrelevant speech condition, four dissyllabic words were presented (see Appendix 4). For each condition, in half of the trials the probe was the same as the memorized stimulus, and in the other half, the probe was different. Memory recognition performance was assessed by the sensitivity index d′ (Snodgrass & Corwin, 1988; Stanislaw & Todorov, 1999).

Results

Table 1 shows the descriptive statistics for tonal sequence recognition and phonological sequence recall. For each task, we used the nonparametric Mann-Whitney U test to compare scores from two independent samples. Musicians were better than nonmusicians in the tonal task, U = 85, Z = 3.6, p < .001, r = .55, and there was no difference between the groups in the phonological task (p = .59, r = .09).

Table 1 Mean number of correct responses (M), with standard deviation (SD), median, and range (minimum-maximum) in tonal sequence recognition and pseudoword sequence recall tasks, for each group of participants
Full size table

Performance in tonal and phonological recognition tasks under silence and interference conditions is summarized in Fig. 1. We carried out a mixed ANOVA with group (musicians vs. nonmusicians) as between-subjects factor, and task (phonological vs. tonal) and condition (silence vs. irrelevant speech vs. irrelevant tones) as within-subjects factors. A main effect of group was observed, F(1, 41) = 28.6, p < .001, η2p = .41, given that musicians had a better overall performance (M = 1.80, SE = 0.124) than nonmusicians (M = 0.87, SE = 0.122). A main effect of task was also observed, F(1, 41) = 7.3, p = .010, η2p = .15, resulting from the fact that pseudoword recognition (M = 1.49, SE = 0.115) was better than tone recognition (M = 1.19, SE = 0.092). A main effect of condition was also observed, F(2, 82) = 9.9, p < .001, η2p = .19, and the post hoc test with Bonferroni’s correction showed that performance was significantly lower with irrelevant tones (M = 1.08, SE = 0.100) than both the silent (M = 1.49, SE = 0.102, p < .001) and the irrelevant speech conditions (M = 1.45, SE = 0.113, p = .002).

Fig. 1
figure1

Mean proportion of correct responses in pseudoword and tone recognition by musicians and nonmusicians in silence or in presence of irrelevant speech or tones. Error bars denote standard errors of the mean

Full size image

The factors group and task had a significant interaction, F(1, 41) = 48.5, p < .001, η2p = .54, indicating that musicians and nonmusicians had different performances in the phonological and tonal recognition tasks. In fact, the post hoc test with Bonferroni’s correction revealed a significant discrepancy (p < .001) between musicians and nonmusicians in tonal recognition (M = 2.05, SE = 0.131, and M = 0.32, SE = 0.128, respectively), but not in pseudoword recognition (M = 1.56, SE = 0.165, and M = 1.43, SE = 0.161, respectively). A significant interaction was also observed for the factors task and condition, F(2, 82) = 19.2, p < .001, η2p = .32, and the post hoc test with Bonferroni’s correction revealed no significant differences between the three conditions for the pseudoword recognition task, whereas the performance in tone recognition was significantly worse in the irrelevant tones condition (M = 0.62, SE = 0.112) than both the silent (M = 1.46, SE = 0.117) and the irrelevant speech (M = 1.48, SE = 0.122) conditions. Finally, the two-way interaction between group and condition (F < 1, p = .94) and the three-way interaction between group, task, and condition (F < 1, p = .61) were not significant, providing evidence that irrelevant tones impaired tone recognition for both groups of participants and that group differences concerned the overall performance of nonmusicians in tone recognition (cf. the significant interaction between group and task).

Given the poor performance of nonmusicians in the three conditions (silence, irrelevant words, and tones) of the tone recognition task (d′ = 0.55, d′ = 0.60, and d′ = − 0.18, respectively), we carried out further analyses for discarding the possibility that the interference effect was not reliable for this group, that is, we verified whether performance in each condition was at chance. Since d′ values close to zero indicate discrimination at chance, we used one-sample t tests to verify if each mean was different from zero. The mean performance in the silence and irrelevant words conditions were significantly different from zero, t(21) = 3.47, p = .002, and t(21) = 3.40, p = .003, respectively, indicating that performance was above chance in these conditions. In contrast, the mean performance in the irrelevant tones condition did not differ from zero, t(21) = − 1.27, p = .22, indicating performance at chance. Thus, we have consistent evidence that irrelevant tones disrupted the performance of nonmusicians in tone recognition.

Discussion

The present study used the interference paradigm for investigating whether overlapping or dissociated WM processes underlie the temporary retention of phonological and tonal information and whether the results were similar for musicians and nonmusicians. To this purpose, pseudoword and tone recognition tasks were carried out in different retention interval conditions: silence, irrelevant words, or irrelevant tones. Considering the literature review, we hypothesized that pseudoword recognition would be impaired by irrelevant words and not by tones and that tone recognition would be impaired by irrelevant tones and not by words. Our results indicated that tone recognition was impaired by irrelevant tones for both groups of participants and that pseudoword recognition was not disrupted either by irrelevant words or tones. The groups did not differ significantly in pseudoword recognition, and musicians outperformed nonmusicians in tone recognition.

The present study also considered whether musicians and nonmusicians would differ in the other two tasks assessing the recognition of sequence of tones and the recall of a sequence of pseudowords. Musicians fared better than nonmusicians in the tonal sequence recognition task, and no group difference was observed for the pseudoword sequence recall task. Overall, our results showed that group differences concerned tonal memory and that our sample of musicians and nonmusicians did not differ in the tasks that involved verbal stimuli.

The results regarding group differences in the tone memory tasks are in line with evidence that musical training is associated with better performance in a range of musical and cognitive tasks (Schulze & Koelsch, 2012; Schulze et al., 2011; Williamson et al., 2010b) but are in contrast with evidence that it is associated with better performance in verbal WM tasks (Chan et al., 1998; Franklin et al., 2008; George & Coch, 2011; Hansen et al., 2013; Ho et al., 2003; Jakobson et al., 2008; Roden et al. 2014). It should be noted that musicians’ advantages in verbal memory tasks may be associated with better auditory temporal processing skills and more efficient extraction of semantic information during the encoding of information (Jakobson et al., 2008), as well as with more effective rehearsal (Franklin et al., 2008). In the current study, the use of dissyllabic and multisyllabic pseudowords may have posed higher demands on phonological processing in the absence of semantic (or lexical) information, and this could have challenged both groups of participants in a similar way. Since this study focused on investigating interference effects in pseudoword and tone recognition, we only included a tone sequence recognition and a pseudoword sequence recall tasks as additional measures of tonal and phonological WM, but we did not include other measures of WM in which musicians were shown to perform better than nonmusicians, such as the recall of words, digits, letters, and monosyllabic nonwords (Chan et al., 1998; Franklin et al., 2008; George & Coch, 2011; Hansen et al., 2013; Ho et al., 2003; Jakobson et al., 2008).

Regarding tonal and pseudoword recognition in conditions of silence or irrelevant words or tones, the results showed that performance in pseudoword recognition did not differ significantly between conditions, and tone recognition was disrupted only by irrelevant tones for both groups of participants, as revealed by the significant interaction between the factors task and condition in the absence of a significant three-way interaction with the factor group. Separate analyses confirmed the reliability of the tonal interference effect for nonmusicians, discarding the possibility that they fared equally poor (at chance) across the conditions.

Regarding pseudoword recognition, our study aimed to disrupt phonological codes within WM. We did not find the expected disruption of performance in the presence of interpolated verbal information. This result was unexpected because we devised a difficult recognition task that involved subtle phonetical/phonological differences, namely, slight changes in consonants in the central syllable of multisyllabic pseudowords. There was no evidence for displacement or overwriting of phonological codes by incoming irrelevant information, and this contrasts with evidence regarding disruption of word recognition by irrelevant words and tones (Atherton et al., 2018) and disruption due to a high overlap of phonetic features between memorized and interpolated items (Eagan & Chein, 2012). However, it is possible that the characteristics of the stimuli in our study prevented interference during the retention interval. In order to increase the task difficulty, we used multisyllabic pseudowords and the critical central syllable was followed by other syllables prior to the retention interval. Thus, it might be the case that some degree of interference occurred prior to the retention interval similarly across the experimental conditions. In contrast, Atherton et al. (2018) employed monosyllabic words as stimuli, with slight changes either in the first consonant or in the last one in the different probes. Although such word recognition task was easier than multisyllabic pseudoword recognition and had a semantic component (that might have protected memory from interference), it seemed adequate to investigate the interference effect.

It is worth noting that irrelevant sound/speech interference effects on phonological memory were mainly found using a serial recall procedure of visually presented linguistic items (e.g., Alley & Greene, 2008; Colle & Welsh, 1976; Iwanaga & Ito, 2002; Salame and Baddeley, 1982, Salamé and Baddeley, 1989) and that the lack of interference on pseudoword recognition is in line with the more usual interference-by-process account of the irrelevant sound/speech effects on phonological memory (Baddeley, 2007, 2012; Beaman & Jones, 1997, 1998; Jones & Macken, 1993; Jones & Tremblay, 2000; Jones et al., 1992). However, few studies aimed at exploring the possibility of phonological interference-by-content within WM (Atherton et al., 2018; Eagan & Chein, 2012), and further research is necessary to explore whether an auditory-verbal recognition task with a single stimulus is resistant or susceptible to disruption by interpolated speech during the retention interval. In particular, a promising way to investigate this issue would be to replicate the general design by Atherton et al. (2018) with monosyllabic nonwords (i.e., nonsense syllables) as to-be-memorized stimuli and interference stimuli, reducing the semantic component.

Regarding musicians, although they seemed to be able to take advantage from their musical knowledge, they were not able to cope with tonal interference, namely, to employ strategies to maintain their memory performance at the same level of the other conditions. In the study by Williamson et al. (2010a), their sample of musicians employed verbal or motor strategies to cope with tonal similarity (pitch-proximity). In our study, the use of verbal or motor strategies (such as naming the tone or creating a mental image of playing the tone) would have allowed musicians to recognize the tone even in the presence of distracting tones, but this was not the case. In our study, since the to-be-memorized tone lasted for 200 ms and there was a 300 ms interval to the onset of the interpolated sequence, the time was probably too short to allow the use of cognitive strategies for encoding the auditory stimulus. Thus, our results suggest that both musicians and nonmusicians relied on auditory WM to maintain tonal information active in the presence of irrelevant sounds, involving processes that are prone to tonal interference, but not to phonological interference (e.g., Jones et al., 1997).

Our study offers further evidence that memory for tones is susceptible to interference-by-content (i.e., by irrelevant tones) (see also Atherton et al., 2018; Deutsch, 1970; Jones et al. 1997; Pechmann & Mohr, 1992, Williamson et al., 2010a), which is consistent across participants differing in musical expertise in our sample. This consistency was in contrast with the results reported by Pechmann and Mohr (1992), who found that both verbal and visual material disrupted performance in tonal recognition for nonmusicians, and we did not find evidence of phonological interference on tone recognition for nonmusicians. According to Pechmann and Mohr (1992), the source of the interference patterns observed in their study was the distract of attention during the retention interval with interpolated visual or verbal material. In our study, the participants were instructed to focus on the memory task and to ignore any irrelevant sound during the retention interval, and both groups had difficulties in performing tone recognition with interpolated irrelevant tones, and this was not observed in the irrelevant speech condition. Thus, by using the interference paradigm, our study found evidence for interference-by-content for tonal WM that is independent of musical expertise.

As discussed in the introduction, disruption of tonal memory may derive from perceptual processes such as spectral similarity, timing, or spatial proximity (Jones et al. 1997; Semal et al., 1996), as well as from memory processes such as retroactive interference and feature overwriting (Mercer & McKeown, 2010a, 2010b). In contrast, disruption of phonological memory may mainly derive from interference-by-process (Baddeley, 2007, 2012; Beaman & Jones, 1997, 1998; Jones & Macken, 1993; Jones & Tremblay, 2000; Jones et al., 1992), but also may derive from interference-by-content (Atherton et al., 2018; Eagan & Chein, 2012), as should be further investigated in future research.

Conclusions

In conclusion, the present study found evidence that the WM system involved in tonal recognition is associated with musical experience and is both susceptible to tonal interference and resistant to phonological interference, regardless of musical training. In contrast, pseudoword recognition was resistant to both tonal and phonological interference, arguably due to the syllables that followed the critical central syllable, and future research should investigate whether monosyllabic pseudowords are resistant or susceptible to auditory-verbal interference.

Abbreviations

WM:

Working memory

References

  1. Alley, T. R., & Greene, M. E. (2008). The relative and perceived impact of irrelevant speech, vocal music and non-vocal music on working memory. Current Psychology, 27(4), 277–289. https://doi.org/10.1007/s12144-008-9040-z.

    Article  Google Scholar 

  2. American Speech-Language-Hearing Association. (1978). Guidelines for manual pure-tone threshold audiometry.

    Google Scholar 

  3. Atherton, R. P., Chrobak, Q. M., Rauscher, F. H., Karst, A. T., Hanson, M. D., Steinert, S. W., & Bowe, K. L. (2018). Shared processing of language and music. Experimental Psychology, 65(1), 40–48. https://doi.org/10.1027/1618-3169/a000388.

    Article  PubMed  Google Scholar 

  4. Baddeley, A. D. (2007). Working memory, thought, and action. Oxford: Oxford University Press.

    Book  Google Scholar 

  5. Baddeley, A. D. (2012). Working memory: theories, models, and controversies. Annual Review of Psychology, 63(1), 1–29. https://doi.org/10.1146/annurev-psych-120710-100422.

    Article  PubMed  Google Scholar 

  6. Beaman, C. P., & Jones, D. M. (1997). Role of serial order in the irrelevant speech effect: tests of the changing-state hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23(2), 459–471. https://doi.org/10.1037/0278-7393.23.2.459.

    Article  Google Scholar 

  7. Beaman, C. P., & Jones, D. M. (1998). Irrelevant sound disrupts order information in free recall as in serial recall. Quarterly Journal of Experimental Psychology Section A, 51(3), 615–636. https://doi.org/10.1080/713755774.

  8. Benassi-Werke, M. E., Queiroz, M., Araujo, R. S., Bueno, O. F., & Oliveira, M. G. M. (2012). Musicians’ working memory for tones, words, and pseudowords. Quarterly Journal of Experimental Psychology, 65(6), 1161–1171. https://doi.org/10.1080/17470218.2011.644799.

  9. Berz, W. L. (1995). Working memory in music: a theoretical model. Music Perception, 12(3), 353–364. https://doi.org/10.2307/40286188.

    Article  Google Scholar 

  10. Chan, A. S., Ho, Y. C., & Cheung, M. C. (1998). Music training improves verbal memory. Nature, 396, 128. https://doi.org/10.1038/24075.

    Article  PubMed  Google Scholar 

  11. Chein, J. M., & Fiez, J. A. (2010). Evaluating models of working memory through the effects of concurrent irrelevant information. Journal of Experimental Psychology: General, 139(1), 117–137. https://doi.org/10.1037/a0018200.

  12. Colle, H. A., & Welsh, A. (1976). Acoustic masking in primary memory. Journal of Verbal Learning and Verbal Behavior, 15(1), 17–31. https://doi.org/10.1016/S0022-5371(76)90003-7.

    Article  Google Scholar 

  13. Croonen, W. L. M. (1994). Effects of length, tonal structure, and contour in the recognition of tone series. Perception & Psychophysics, 55(6), 623–632. https://doi.org/10.3758/BF03211677.

    Article  Google Scholar 

  14. Davis, H., & Silverman, R. S. (1978). Hearing and deafness. New York: Holt, Rinehart & Winston.

    Google Scholar 

  15. Deutsch, D. (1970). Tones and numbers: specificity of interference in immediate memory. Science, 168(3939), 1604–1605. https://doi.org/10.1126/science.168.3939.1604.

    Article  PubMed  Google Scholar 

  16. Eagan, D. E., & Chein, J. M. (2012). Overlap of phonetic features as a determinant of the between-stream phonological similarity effect. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(2), 473–481. https://doi.org/10.1037/a0025368.

    Article  PubMed  Google Scholar 

  17. Franklin, M. S., Moore, K. S., Yip, C. Y., Jonides, J., Rattray, K., & Moher, J. (2008). The effects of musical training on verbal memory. Psychology of Music, 36(3), 353–365. https://doi.org/10.1177/0305735615608695.

    Article  Google Scholar 

  18. George, E. M., & Coch, D. (2011). Music training and working memory: an ERP study. Neuropsychologia, 49(5), 1083–1094. https://doi.org/10.1016/j.neuropsychologia.2011.02.001.

    Article  PubMed  Google Scholar 

  19. Hansen, M., Wallentin, M., & Vuust, P. (2013). Working memory and musical competence of musicians and non-musicians. Psychology of Music, 41(6), 779–793. https://doi.org/10.1177/0305735612452186.

    Article  Google Scholar 

  20. Ho, Y. C., Cheung, M. C., & Chan, A. S. (2003). Music training improves verbal but not visual memory: cross-sectional and longitudinal explorations in children. Neuropsychology, 17(3), 439–450. https://doi.org/10.1037/0894-4105.17.3.439.

    Article  PubMed  Google Scholar 

  21. Iwanaga, M., & Ito, T. (2002). Disturbance effect of music on processing of verbal and spatial memories. Perceptual and Motor Skills, 94(3 suppl), 1251–1258. https://doi.org/10.2466/pms.2002.94.3c.1251.

    Article  PubMed  Google Scholar 

  22. Jakobson, L. S., Lewycky, S. T., Kilgour, A. R., & Stoesz, B. M. (2008). Memory for verbal and visual material in highly trained musicians. Music Perception, 26(1), 41–55. https://doi.org/10.1525/mp.2008.26.1.41.

    Article  Google Scholar 

  23. Jones, D. M., & Macken, W. J. (1993). Irrelevant tones produce an irrelevant speech effect: implications for phonological coding in working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(2), 369–381. https://doi.org/10.1037/0278-7393.19.2.369.

  24. Jones, D. M., & Macken, W. J. (1995). Phonological similarity in the irrelevant speech effect: within-or between-stream similarity? Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(1), 103–115. https://doi.org/10.1037/0278-7393.21.1.103.

  25. Jones, D. M., Macken, W. J., & Harries, C. (1997). Disruption of short term recognition memory for tones: streaming or interference? Quarterly Journal of Experimental Psychology Section A, 50(2), 337–357. https://doi.org/10.1080/713755707.

  26. Jones, D. M., Madden, C., & Miles, C. (1992). Privileged access by irrelevant speech to short-term memory: the role of changing state. Quarterly Journal of Experimental Psychology Section A, 44(4), 645–669. https://doi.org/10.1080/14640749208401304.

  27. Jones, D. M., & Tremblay, S. (2000). Interference in memory by process or content? A reply to Neath (2000). Psychonomic Bulletin & Review, 7(3), 550–558. https://doi.org/10.3758/BF03214370.

  28. Koelsch, S., Schulze, K., Sammler, D., Fritz, T., Müller, K., & Gruber, O. (2009). Functional architecture of verbal and tonal working memory: an FMRI study. Human Brain Mapping, 30(3), 859–873. https://doi.org/10.1002/hbm.20550.

    Article  PubMed  Google Scholar 

  29. Larsen, J. D., Baddeley, A., & Andrade, J. (2000). Phonological similarity and the irrelevant speech effect: implications for models of short-term verbal memory. Memory, 8(3), 145–157. https://doi.org/10.1080/096582100387579.

    Article  PubMed  Google Scholar 

  30. LeCompte, D. C., & Shaibe, D. M. (1997). On the irrelevance of phonological similarity to the irrelevant speech effect. Quarterly Journal of Experimental Psychology Section A, 50(1), 100–118. https://doi.org/10.1080/713755679.

  31. Mercer, T., & McKeown, D. (2010a). Interference in short-term auditory memory. Quarterly Journal of Experimental Psychology, 63(7), 1256–1265. https://doi.org/10.1080/17470211003802467.

  32. Mercer, T., & McKeown, D. (2010b). Updating and feature overwriting in short-term memory for timbre. Attention, Perception, & Psychophysics, 72(8), 2289–2303. https://doi.org/10.3758/APP.72.8.2289.

  33. Page, M. P. A., & Norris, D. G. (2003). The irrelevant sound effect: what needs modelling, and a tentative model. Quarterly Journal of Experimental Psychology Section A, 56(8), 1289–1300. https://doi.org/10.1080/02724980343000233.

  34. Pechmann, T., & Mohr, G. (1992). Interference in memory for tonal pitch: Implications for a working-memory model. Memory & Cognition, 20(3), 314–320. https://doi.org/10.3758/BF03199668.

    Article  Google Scholar 

  35. Pereira, L. D., & Schochat, E. (1997). Manual de avaliação do processamento auditivo central [Administration manual of central auditory processing]. São Paulo: Lovise.

    Google Scholar 

  36. Roden, I., Grube, D., Bongard, S., & Kreutz, G. (2014). Does music training enhance working memory performance? Findings from a quasi-experimental longitudinal study. Psychology of Music, 42(2), 284–298. https://doi.org/10.1177/0305735612471239.

    Article  Google Scholar 

  37. Salame, P., & Baddeley, A. (1982). Disruption of short-term memory by unattended speech: Implications for the structure of working memory. Journal of Verbal Learning and Verbal Behavior, 21(2), 150–164. https://doi.org/10.1016/S0022-5371(82)90521-7.

  38. Salamé, P., & Baddeley, A. (1989). Effects of background music on phonological short-term memory. Quarterly Journal of Experimental Psychology Section A, 41(1), 107–122. https://doi.org/10.1080/14640748908402355.

  39. Santos, T. M. M., & Russo, I. C. P. (1986). A prática da audiologia clínica [the practice of clinical audiology]. São Paulo: Cortez.

    Google Scholar 

  40. Schendel, Z. A., & Palmer, C. (2007). Suppression effects on musical and verbal memory. Memory & Cognition, 35(4), 640–650. https://doi.org/10.3758/BF03193302.

    Article  Google Scholar 

  41. Schulze, K., & Koelsch, S. (2012). Working memory for speech and music. Annals of the New York Academy of Sciences, 1252(1), 229–236. https://doi.org/10.1111/j.1749-6632.2012.06447.x.

  42. Schulze, K., Zysset, S., Mueller, K., Friederici, A. D., & Koelsch, S. (2011). Neuroarchitecture of verbal and tonal working memory in nonmusicians and musicians. Human Brain Mapping, 32(5), 771–783. https://doi.org/10.1002/hbm.21060.

    Article  PubMed  Google Scholar 

  43. Semal, C., Demany, L., Ueda, K., & Hallé, P. A. (1996). Speech versus nonspeech in pitch memory. Journal of the Acoustical Society of America, 100(2), 1132–1140. https://doi.org/10.1121/1.416298.

  44. Snodgrass, J. G., & Corwin, J. (1988). Pragmatics of measuring recognition memory: applications to dementia and amnesia. Journal of Experimental Psychology: General, 117(1), 34–50. https://doi.org/10.1037/0096-3445.117.1.34.

  45. Stanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavior Research Methods, Instruments, & Computers, 31(1), 137–149. https://doi.org/10.3758/BF03207704.

  46. Tremblay, S., Parmentier, F. B., Hodgetts, H. M., Hughes, R. W., & Jones, D. M. (2012). Disruption of verbal-spatial serial memory by extraneous air-traffic speech. Journal of Applied Research in Memory and Cognition, 1(2), 73–79. https://doi.org/10.1016/j.jarmac.2012.04.004.

  47. Williamson, V. J., Baddeley, A. D., & Hitch, G. J. (2010a). Musicians’ and nonmusicians’ short-term memory for verbal and musical sequences: comparing phonological similarity and pitch proximity. Memory & Cognition, 38(2), 163–175. https://doi.org/10.3758/MC.38.2.163.

    Article  Google Scholar 

  48. Williamson, V. J., Mitchell, T., Hitch, G. J., & Baddeley, A. D. (2010b). Musicians’ memory for verbal and tonal materials under conditions of irrelevant sound. Psychology of Music, 38(3), 331–350. https://doi.org/10.1177/0305735609351918.

  49. Zhang, J. D., Susino, M., Mcpherson, G. E., & Schubert, E. in press The definition of a musician in music psychology: a literature review and the six-year rule. Psychology of Music. https://doi.org/10.1177/0305735618804038.

Download references

Acknowledgements

The authors would like to thank Luísa Superbia-Guimarães, Steffen Herff, and anonymous reviewers for valuable comments and suggestions to improve the paper.

Funding

This study did not receive financial support.

Availability of data and materials

The stimuli used in each task of this study (tones, words, and pseudowords) are described in the Appendices provided as supplementary material. The dataset supporting the conclusions of this article is available by request to the authors.

Author information

Affiliations

  1. Departamento de Psicologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, SP, 14040-901, Brazil

    Ana Clara Naufel Defilippi, Ricardo Basso Garcia & Cesar Galera

Authors
  1. Ana Clara Naufel Defilippi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ricardo Basso Garcia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cesar Galera
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ACND and CG contributed to the study conception and design. ACND contributed to the data collection. ACND, CG, and RBG contributed to the data analysis and interpretation. ACND, RBG, and CG contributed to the manuscript writing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ricardo Basso Garcia.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1

Example of the stimuli of the tonal sequence recognition task

Table 2 The fourteen sequences of seven tones used in each one of the trials, with the type of test-sequence (the same or different as the memorized sequence) and the discrepant tone (above [↑] or below [↓] the respective original tone) in the “different” trials
Full size table

Appendix 2

Example of the stimuli of the pseudoword sequence recall task

Table 3 The disyllabic pseudowords used in each one of the trials with their respective phonetic transcription
Full size table

Appendix 3

Example of stimuli of the tonal recognition task with irrelevant tones during the retention interval

Table 4 The twelve tones used as stimuli and the respective test stimuli, with the irrelevant tones that were presented during the retention interval. The test stimulus could be the same as the memorized one, or being a semitone above (↑) or below (↓) the memorized one in the “different” trials
Full size table

Appendix 4

Example of stimuli of the pseudoword recognition task with irrelevant words during the retention interval

Table 5 The twelve pseudowords used as stimuli and the respective test stimuli, with the irrelevant words that were presented during the retention interval. Phonetic transcriptions are provided below the stimuli. The test stimulus could be the same as the memorized one, or the consonant of the central syllable was changed in the “different” trials
Full size table

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Defilippi, A.C.N., Garcia, R.B. & Galera, C. Irrelevant sound interference on phonological and tonal working memory in musicians and nonmusicians. Psicol. Refl. Crít. 32, 2 (2019). https://doi.org/10.1186/s41155-018-0114-z

Download citation

Keywords

  • Memory
  • Short-term memory
  • Working memory
  • Tonal memory
  • Phonological memory
  • Professional musicians