Piano Guidance
Piano Guidance
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Participants judged the human voice as the most frequently used sad instrument, with the 'cello, viola, violin and piano completing the top five. The triangle was judged the instrument least used for sadness, along with the cymbal, tambourine, wood block, and glockenspiel.
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Read More »ABSTRACT: Forty-four Western-enculturated musicians completed two studies. The first group was asked to judge the relative sadness of forty-four familiar Western instruments. An independent group was asked to assess a number of acoustical properties for those same instruments. Using the estimated acoustical properties as predictor variables in a multiple regression analysis, a significant correlation was found between those properties known to contribute to sad prosody in speech and the judged sadness of the instruments. The best predictor variable was the ability of the instrument to make small pitch movements. Other variables investigated included the darkness of the timbre, the ability to play low pitches, the ability to play quietly, and the capacity of the instrument to "mumble." Four of the acoustical factors were found to exhibit a considerable amount of shared variance, suggesting that they may originate in a common underlying factor. It is suggested that the shared proximal cause of these acoustical features may be low physical energy. T AKEN at face value, some instruments seem better suited than other instruments for certain kinds of tasks (Huron & Berec, 2009). For example, some instruments seem more able to convey or express sadness. The famous comedian and talented banjo player, Steve Martin, frequently noted: "You can't play a sad song on the banjo" (e.g., Goodreads, 2012). Martin's claim is directly echoed in the Willie Nelson song entitled You Just Can't Play a Sad Song on a Banjo. In contrast, instruments like the 'cello and the cor anglais are commonly regarded as better suited for conveying nominally sad affect. The effect of instrumentation on perceived affect is evident in experiments carried out by Hailstone et al. (2009). Happy, sad, angry and fearful melodies were played on different instruments (piano, violin, trumpet and synthesizer). They found that the ability to recognize the intended affect was greatly enhanced by matching the melody with a particular instrument. For example, the odds of recognizing a sad melody were greatest when played on the violin, while the odds of recognizing a happy melody were least when played on the violin. This raises the question of what features of a musical instrument make it especially suitable for sad music. Research in speech prosody may provide a useful starting point for understanding musical sadness. The first detailed description of sad speech was published in the late nineteenth century by the pioneering German psychiatrist, Emil Kraepelin (1899/1921). Kraepelin identified five characteristics of sad speech: quieter voice, slow speaking rate, lower overall pitch, narrower pitch movements (i.e., more monotone), and mumbled articulation. Modern research adds a sixth characteristic of sad speech, namely darker timbre (for a review, see Murray & Arnott, 1993). Kraepelin's observations were made in a clinical setting. Over the past century, dozens of formal experiments have confirmed all of the features he described. Sad speech exhibits a quieter dynamic level (Skinner, 1935; Scherer, 1986; Siegman & Boyle, 1993; Banse & Scherer, 1996; Cowie et al., 2001); sad speech is slower in tempo (Siegman & Boyle, 1993; Breitenstein, van Lancker & Daum, 2001); sad speech is lower in pitch (Fairbanks & Pronovost, 1939; Lieberman & Michaels, 1962); sad speech is more monotone (Skinner, 1935; Fairbanks & Pronovost, 1939; Eldred & Price, 1958; Davitz, 1964; Huttar, 1968; Williams & Stevens, 1972; Bergmann, Goldbeck & Scherer, 1988; Banse & Scherer, 1996; Sobin & Alpert, 1999; Breitenstein, van Lancker & Daum, 2001; ); sad speech exhibits more mumbled articulation (Dalla Bella, Peretz, Rousseau, & Gosselin, 2001); and sad speech displays a darker timbre (Ohala, 1980, 1994; Tartter, 1980; Scherer, Johnstone, & Klasmeyer, 2003, Table 23.2; Schwartz, Howe, & Purves, 2003; Ross, Choi, & Purves, 2007). Many of these same features have also been observed in sad music. For example, Turner and Huron (2008) showed that the dynamic levels are lower for nominally sad music. Post and Huron (2009) found that nominally sad music is slower in tempo. Similarly, Johnson (2010) found that music played on the banjo exhibits much greater density of notes compared with renditions of the same work played on the guitar. Huron (2008) showed that nominally sad music is lower in overall pitch, and also displays a slightly smaller melodic interval size. Finally, Schutz et al. (2008) found evidence consistent with the claim that darker instrumental timbre is associated with sadness. In light of the speech research and the extant music-related research, we might suspect that what makes an instrument especially well-suited for conveying or expressing nominally sad music is that it exhibits the same six features that we have just described. One might suppose, for example, that a piccolo is poorly suited to playing sad music because it is high in pitch and typically produces a bright sound. Similarly, a banjo exhibits a relatively bright timbre, and the short-sustain of the plucked strings makes it ill-suited to playing slowly. Conversely, a 'cello has a generally low tessitura, and can play relatively quietly using sustained pitches that allow for very slow tempos. In this study we will address this question using a correlational approach. In brief, musician participants were recruited for two surveys. One survey asked musicians to judge the relative sadness of familiar Western instruments. A second, independent survey, asked respondents to judge five of the six acoustic properties (described above) for the same selection of instruments. The sixth variable (pitch range) was determined from orchestration texts. Finally, we measured the degree to which the deemed acoustical properties could be used to predict the deemed sadness of the various instruments. To anticipate our results, we will see a partial convergence between these two surveys, where those instruments deemed most sad were also those deemed most capable of generating the acoustical features implicated in the conveying of sad affect in speech. HYPOTHESIS Formally, our hypothesis may be stated as follows: H. Those musical instruments deemed most capable of expressing or representing sadness are also judged better able to generate the acoustic features needed to convey sad affect in speech. Specifically, instruments characterized as "sad instruments" are deemed better able to play (i) more quietly, (ii) slower, (iii) with smaller pitch movements, (iv) with relatively lower pitch, (v) with a more "mumble-like" articulation, and (vi) with a darker timbre. METHOD As noted above, we conducted two independent surveys. The first survey collected assessments of the sadness for 44 familiar musical instruments. The second survey collected assessments of five acoustical properties for these same 44 instruments. STUDY #1 Twenty-one musician participants were recruited from among graduate music students and faculty at three music educational programs: Ohio State University, University of Arkansas, and Harvard University. None of the participants were familiar with the purpose of the study. Participants were given a list of 44 Western musical instruments and asked to make two judgments on a 7-point scale. The two questions were addressed separately rather than concurrently. Instructions For the first question, participants received the following instructions: In light of your past music listening experience, for each of the following instruments, rate how commonly or frequently you think this instrument is used to convey sadness in music. Please note that by "sadness," we mean a sort of depressed empty feeling, rather than a wailing sort of grief. Not common Very common 1 2 3 4 5 6 7 The same question was asked for each of the 44 instruments. Having completed the first task, the same participants continued with a second task, with the following instructions: In the previous task you were asked to identify how commonly or frequently an instrument is used to convey sadness. In this task, we are looking for something different. For each instrument, rate how well the instrument is able to convey sadness. That is, an instrument may be rarely used to convey sadness in music, even though you may think that it is very well suited to convey sadness. For this task, we want you to think in terms of ability or capacity rather than common usage. Note also that any given instrument may be suited to a diverse range of emotions. For example, apart from sadness, an instrument may be well suited to conveying happiness. How well an instrument can convey happiness should have no bearing on your judgment of the instrument's suitability for conveying sadness. In other words, when called upon to convey sadness, how well is this instrument able to produce a sad sound? Once again, by "sadness," we mean a sort of depressed empty feeling, rather than a wailing sort of grief. Not capable of sadness Very capable of sadness 1 2 3 4 5 6 7 Following completion of the survey, participants were debriefed in order to alert the experimenters to the possibility of unwanted demand characteristics, or possible confusion in completing the survey. RESULTS FOR STUDY #1 Before presenting our results, it is appropriate to measure the intersubjective agreement between the various participants. Accordingly, we calculated the correlation between responses for all 21 respondents. This produced some 210 paired comparisons for each of the survey questions. A priori we established an exclusionary criterion that any subject whose data correlated less than an average of +.1 with all other subjects would be excluded. For the first question (frequency of use of instrument for sadness) the average correlation across all instruments between all subjects was +.53. The lowest correlation was +.16. For the second question (capacity for an instrument to convey sadness) the average correlation between subjects was +.58. The lowest correlation was +.15. Accordingly, none of our participants' data were excluded. In light of the broad agreement between subjects, all of the data were pooled together. Table 1 shows the mean ratings and standard deviations for both frequency and capacity judgments for the 44 instruments tested. The table is ordered according to the latter ratings. The middle column shows the estimated frequency of use for sadness and the right-most column shows the estimated capacity for sadness. Participants judged the human voice as the most frequently used sad instrument, with the 'cello, viola, violin and piano completing the top five. The triangle was judged the instrument least used for sadness, along with the cymbal, tambourine, wood block, and glockenspiel. Regarding the judged capacity for generating a sad sound, the 'cello edged out the voice for top spot, but the top five instruments remained the same. The rank ordering of the instruments judged least capable of producing sad sounds was similar to that of the frequency data, except that the snare drum replaced the glockenspiel. Table 1: Estimated Frequency of Use and Capacity for Sadness (Ordered by Sadness Capacity) Instrument Mean Sadness Frequency (SD) Mean Sadness Capacity (SD) Violoncello 6.38 (0.92) 7.00 (0.00) Voice 6.52 (0.87) 6.91 (0.44) Violin 6.00 (1.30) 6.86 (0.48) Viola 6.05 (0.87) 6.81 (0.40) Piano 5.91 (1.26) 6.71 (0.64) Oboe 5.29 (1.71) 6.62 (0.74) English Horn 5.24 (1.55) 6.43 (0.87) B-flat Clarinet 4.86 (1.32) 6.24 (1.00) Acoustic Guitar 5.19 (1.54) 6.14 (1.24) Bassoon 4.40 (1.76) 6.05 (1.28) Flute 4.00 (1.92) 5.95 (1.43) Horn 4.24 (1.67) 5.81 (1.47) Harp 4.48 (1.83) 5.71 (1.59) Alto Saxophone 4.38 (1.50) 5.62 (1.60) Tenor saxophone 4.65 (1.63) 5.57 (1.66) Double Bass 3.80 (1.96) 5.55 (1.67) Electric Guitar 3.33 (1.65) 5.38 (2.06) Bass Clarinet 3.90 (1.60) 5.38 (1.69) Trombone 4.00 (1.41) 5.38 (1.32) Alto Recorder 3.61 (1.85) 5.37 (1.89) Trumpet 3.33 (1.53) 4.95 (1.53) Soprano saxophone 3.40 (1.85) 4.81 (1.91) Soprano recorder 2.74 (1.85) 4.65 (1.87) Flugelhorn 3.39 (1.79) 4.61 (1.88) Marimba 3.10 (1.77) 4.40 (1.64) Baritone Saxophone 3.67 (1.94) 4.39 (1.85) Vibraphone 3.35 (1.66) 4.35 (1.95) Chimes 3.05 (1.69) 4.33 (2.08) Bass Guitar 2.50 (1.67) 4.33 (2.03) Tuba 3.10 (1.55) 4.24 (1.81) Contrabassoon 3.17 (1.95) 4.11 (1.97) Celeste 2.68 (1.46) 4.10 (2.13) Timpani 2.62 (1.72) 3.71 (2.00) Banjo 2.29 (1.38) 3.57 (1.63) Xylophone 2.19 (1.50) 3.57 (1.63) Piccolo 1.76 (1.45) 3.33 (1.74) Gong 2.43 (1.57) 3.00 (1.76) Bass Drum 2.81 (2.14) 2.95 (2.04) Glockenspiel 1.68 (1.06) 2.90 (1.56) Triangle 1.43 (0.81) 2.48 (1.83) Wood block 1.52 (0.98) 2.38 (1.66) Cymbal 1.48 (0.98) 2.38 (1.43) Tambourine 1.48 (0.93) 2.10 (1.45) Snare drum 2.00 (1.38) 1.51 (1.36) In general, there is considerable concordance between the capacity and frequency judgments. Using a Spearman rank order correlation, the correlation between the two set of data is r s =+.97, df=42, p<.001. This is consistent with the notion that instruments judged most capable of producing sad sounds are likely to be employed for that purpose. Of course, we should hasten to add that despite our instructions, participants may well have been influenced by their musical exposure when engaged in the second task of assessing the capacity of various instruments for producing sad sounds. Table 1 suggests that the voice and stringed instruments are deemed both most frequently used to convey sadness in music and also most capable of conveying sadness. STUDY #2 The goal of our second survey was to solicit impressions of the capacity of different instruments to produce certain acoustical effects consistent with prosodic cues for sad speech. Twenty-three participants were recruited from the Ohio State University School of Music subject pool. This study was one of several that undergraduate students could choose in order to receive partial course credit. The participants completed an online questionnaire in which they were asked to judge "how easy" it is for an instrument to produce some effect. Specifically, the surveys posed five questions for each of 44 instruments. Instructions The instructions are given below: In this survey we will ask a series of questions related to familiar musical instruments. For each instrument, rate how well the instrument is able to produce a certain sound (such as playing quietly). Note that an instrument may be rarely required to play quietly, even though you may think that it is very well suited to playing quietly. That is, we want you to think in terms of ability or capacity rather than common usage. Note also that any given instrument may be suited to a diverse range of sounds. For example, an instrument might be capable of playing both very loudly and very softly. The fact that an instrument can be very loud (and even commonly does play very loudly) does not necessarily mean it cannot play very quietly. How well an instrument generates a loud sound should have no bearing on your judgment of the instrument's suitability for generating a quiet sound. In summary: When called upon to produce a certain acoustic feature, how capable are the following instruments to generate that acoustic feature? In order to ensure that participants understood the instructions, they were asked to answer the following comprehension question before proceeding with the survey: Based on the instructions above, we would like you to rate instruments according to (select all that apply): □ their common usage □ their ability/capacity All twenty-three participants selected the correct response for the comprehension question. For each of 44 instruments, we posed five questions:
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Read More »Table 4: Correlation Matrix Sadness Capacity Quietly Slowly Small Interval Mumbling Dark Timbre Lowest pitch Sadness Capacity 1.00 Quietly .15 1.00 Slowly -.11 .28 1.00 Small Interval .72 -.01 -.28 1.00 Mumbling .52 .27 .15 .49 1.00 Dark Timbre .45 .28 .16 .51 .87 1.00 Lowest Pitch .31 .36 .23 .27 .70 .73 1.00 CONCLUSION AND DISCUSSION In general, the model accounts for roughly 51% of the variance, suggesting that there may be other factors contributing to the perceived capacity of an instrument to play in a sad fashion. Recall that in the first survey we asked respondents to estimate not only how capable an instrument is for conveying sadness, but also how frequently an instrument is used to convey sadness. When a composer selects an instrument to serve a particular function, several factors might be assumed to inform that decision. While the capacity of an instrument to convey sad affect would obviously be important, other factors may also influence the choice of instrument. For example, some instruments are more portable or readily available, or may provide a better blend with other instruments, or the instrument may be part of a conventional ensemble grouping, such as a string quartet. Hypothetically, an ocarina might be better able to convey sadness than a 'cello. However, if the composer is writing a work for orchestra, 'cellos are readily available, whereas the ocarina is not. It would follow, therefore, that the frequency of use of an instrument to convey sadness should be less correlated with the acoustical factors for conveying sadness in speech than the capacity of that instrument for conveying sadness. Accordingly, we can offer the post-hoc hypothesis that the six variables used in our multiple regression analysis will better predict the estimated capacity of an instrument for conveying sadness than the estimated frequency of use of that instrument for conveying sadness. This post-hoc conjecture was not part of the original research conception, and carrying out the appropriate multiple regression analysis invites a loss of power due to multiple tests. Therefore, for curious readers, we relegate this post-hoc analysis to Appendix 1. As noted, low pitch, dark timbre, mumbling, and small interval are all strongly correlated with one another. When several variables are correlated, one should not necessarily assume that the variable that accounts for the greatest portion of the variance is the one true variable, of which the others are partial descriptions. It is more likely that an unidentified or hidden variable is at play, and that all of the measured variables correlate with this more fundamental factor. In physical terms, low pitch, dark timbre, "mumbling" and small interval appear to be related to low physical energy. An instrument can produce low energy in two ways: first, the performer may convey only a small amount of energy to the instrument, or second, the instrument itself may be inefficient—transducing only a small proportion of the input energy into the resulting sound. Inefficient vibrators typically exhibit high inertia, and high inertia is characteristic of large-mass vibrators. Said another way, an inefficient vibrator will behave in a more sluggish manner. It is plausible that mumbling, low pitch, small intervals, and dark timbre are manifestations of vibrating objects that are simply less efficient. If low output energy is the underlying cause of these sadness cues, we might ask why quiet level and slow tempo are not also strongly correlated with the other variables. Surely, low amplitude and slow event rates are also characteristic of low energy. Recall our earlier discussion of the ranges between the highest and lowest ratings between each of the variables. We found that the ratings between the highest and lowest judgments for the ability to play quietly were roughly four times smaller than the comparable ranges for the other variables. One might conjecture that the poor correlation may be a result of a ceiling effect for the quietness and slowness judgments. However, a post-hoc analysis of the skews and variances offered none of the telltale signs of a ceiling effect. Evidently, quiet level and slow tempo appear to be independent of the mumbling/darkness/small-interval/low-pitch cluster. By contrast, recent work by Eerola et al. (2012) found that energy was quite successful in predicting valence or pleasantness judgments for a large variety of instrument timbres. By way of summary, the overall results provide qualified evidence that those instruments deemed most able to convey sadness are also judged better able to generate the acoustical features implicated in the conveying of sad affect in speech. Although only one variable (small interval) proved statistically significant, three other variables were correlated with small interval. We have suggested that small interval per se may not be the best predictor, but that the cluster of variables implies a more fundamental underlying origin. We have speculated that low energy may be that common proximal cause. Apart from low energy, the large amount of unexplained variance suggests that factors other than the six acoustical features explored in this study may play a role in the perception of sad sounds. For example, in many cultures, a premium is placed on instruments that produce voice-like timbres. It may be that acoustical attributes that convey a more voice-like sound are important, or even essential, for expressing or conveying sadness. In addition, the generally poor ability of percussion instruments to produce a sad sound suggests that percussive articulation and/or the inability to manipulate pitch may be significant factors. For example, pitch-change itself may prove to be important for expressing or conveying sadness. ACKNOWLEDGEMENTS Our thanks to Drs. Elizabeth Margulis and Olaf Post for assisting with data collection at the University of Arkansas and Harvard University, respectively. NOTES Correspondence can be addressed to: Prof. David Huron, School of Music, 1866 College Road, Ohio State University. Columbus, OH 43210 USA. E-mail: [email protected]
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