Abstract:Multiple sound reflections from room materials and a listener's head induce slight spectral modifications of sounds. This coloration depends on the listener and source positions, and on the room itself. This study investigated whether coloration could help segregate competing sources. Obligatory streaming was evaluated for diotic speech-shaped noises using a rhythmic discrimination task. Thresholds for detecting anisochrony were always significantly higher when stimuli differed in spectrum. The tested differen… Show more
“…So far, this study has shown that listeners can perceive the regularities in interaural and spectral differences induced by a difference in simulated spatial location, despite large spectral variability from token to token (experiment 1), and that these regularities can be extracted to form auditory streams (experiment 2). This outcome is particularly interesting in the case of spectral differences associated with simulated spatial differences in the median plane, as it extends the results of Middlebrooks and Onsan (2012), David et al (2014), and David et al (2015) by showing that monaural spectral cues can induce streaming even in the presence of natural spectral variability between tokens. Martin et al (2012) showed only a slight spatial release from masking in the median plane using speech filtered by individualized head related transfer functions.…”
Section: E Discussionsupporting
confidence: 71%
“…However, those that have studied the effects of spectral spatial cues, independent of binaural cues, have found that alternating sequences of broadband noise bursts can be perceptually segregated based on small spectral differences between the stimuli (Middlebrooks and Onsan, 2012). Stream segregation based on these spectral cues can also be obligatory (David et al, 2014;David et al, 2015), in that segregation occurs even in situations where listeners are instructed to integrate the sequences into a single stream; for a discussion of voluntary and obligatory streaming, see Micheyl and Oxenham (2010).…”
Section: Introductionmentioning
confidence: 99%
“…One question posed by the present study is whether the spectral cues that primarily affect the higher-frequency portions of the stimulus can also lead to streaming of the entire CV. Another question was the extent to which binaural cues in the horizontal plane contribute to stream segregation, over and above the monaural spectral cues that are also available in the horizontal plane (David et al, 2014). The experiments related to these questions were preceded by a discrimination task to ensure that listeners could perceive the differences induced by imposing different spatial or spectral cues on the stimuli.…”
Differences in spatial cues, including interaural time differences (ITDs), interaural level differences (ILDs) and spectral cues, can lead to stream segregation of alternating noise bursts. It is unknown how effective such cues are for streaming sounds with realistic spectro-temporal variations. In particular, it is not known whether the high-frequency spectral cues associated with elevation remain sufficiently robust under such conditions. To answer these questions, sequences of consonant-vowel tokens were generated and filtered by non-individualized head-related transfer functions to simulate the cues associated with different positions in the horizontal and median planes. A discrimination task showed that listeners could discriminate changes in interaural cues both when the stimulus remained constant and when it varied between presentations. However, discrimination of changes in spectral cues was much poorer in the presence of stimulus variability. A streaming task, based on the detection of repeated syllables in the presence of interfering syllables, revealed that listeners can use both interaural and spectral cues to segregate alternating syllable sequences, despite the large spectro-temporal differences between stimuli. However, only the full complement of spatial cues (ILDs, ITDs, and spectral cues) resulted in obligatory streaming in a task that encouraged listeners to integrate the tokens into a single stream.
“…So far, this study has shown that listeners can perceive the regularities in interaural and spectral differences induced by a difference in simulated spatial location, despite large spectral variability from token to token (experiment 1), and that these regularities can be extracted to form auditory streams (experiment 2). This outcome is particularly interesting in the case of spectral differences associated with simulated spatial differences in the median plane, as it extends the results of Middlebrooks and Onsan (2012), David et al (2014), and David et al (2015) by showing that monaural spectral cues can induce streaming even in the presence of natural spectral variability between tokens. Martin et al (2012) showed only a slight spatial release from masking in the median plane using speech filtered by individualized head related transfer functions.…”
Section: E Discussionsupporting
confidence: 71%
“…However, those that have studied the effects of spectral spatial cues, independent of binaural cues, have found that alternating sequences of broadband noise bursts can be perceptually segregated based on small spectral differences between the stimuli (Middlebrooks and Onsan, 2012). Stream segregation based on these spectral cues can also be obligatory (David et al, 2014;David et al, 2015), in that segregation occurs even in situations where listeners are instructed to integrate the sequences into a single stream; for a discussion of voluntary and obligatory streaming, see Micheyl and Oxenham (2010).…”
Section: Introductionmentioning
confidence: 99%
“…One question posed by the present study is whether the spectral cues that primarily affect the higher-frequency portions of the stimulus can also lead to streaming of the entire CV. Another question was the extent to which binaural cues in the horizontal plane contribute to stream segregation, over and above the monaural spectral cues that are also available in the horizontal plane (David et al, 2014). The experiments related to these questions were preceded by a discrimination task to ensure that listeners could perceive the differences induced by imposing different spatial or spectral cues on the stimuli.…”
Differences in spatial cues, including interaural time differences (ITDs), interaural level differences (ILDs) and spectral cues, can lead to stream segregation of alternating noise bursts. It is unknown how effective such cues are for streaming sounds with realistic spectro-temporal variations. In particular, it is not known whether the high-frequency spectral cues associated with elevation remain sufficiently robust under such conditions. To answer these questions, sequences of consonant-vowel tokens were generated and filtered by non-individualized head-related transfer functions to simulate the cues associated with different positions in the horizontal and median planes. A discrimination task showed that listeners could discriminate changes in interaural cues both when the stimulus remained constant and when it varied between presentations. However, discrimination of changes in spectral cues was much poorer in the presence of stimulus variability. A streaming task, based on the detection of repeated syllables in the presence of interfering syllables, revealed that listeners can use both interaural and spectral cues to segregate alternating syllable sequences, despite the large spectro-temporal differences between stimuli. However, only the full complement of spatial cues (ILDs, ITDs, and spectral cues) resulted in obligatory streaming in a task that encouraged listeners to integrate the tokens into a single stream.
“…The power differences between the modulated and unmodulated bursts were within 1 dB in the region below 1 kHz, which suggested very limited perceivable differences. However, a recent study (David et al, 2014 ) has shown that very small spectral cues (a few dB difference in excitation pattern) could elicit obligatory streaming. It is then difficult to completely rule out that a 1 dB difference could not elicit voluntary streaming based on the current data set.…”
The purpose of this study was to investigate the roles of spectral overlap and amplitude modulation (AM) rate for stream segregation for noise signals, as well as to test the build-up effect based on these two cues. Segregation ability was evaluated using an objective paradigm with listeners' attention focused on stream segregation. Stimulus sequences consisted of two interleaved sets of bandpass noise bursts (A and B bursts). The A and B bursts differed in spectrum, AM-rate, or both. The amount of the difference between the two sets of noise bursts was varied. Long and short sequences were studied to investigate the build-up effect for segregation based on spectral and AM-rate differences. Results showed the following: (1). Stream segregation ability increased with greater spectral separation. (2). Larger AM-rate separations were associated with stronger segregation abilities. (3). Spectral separation was found to elicit the build-up effect for the range of spectral differences assessed in the current study. (4). AM-rate separation interacted with spectral separation suggesting an additive effect of spectral separation and AM-rate separation on segregation build-up. The findings suggest that, when normal-hearing listeners direct their attention towards segregation, they are able to segregate auditory streams based on reduced spectral contrast cues that vary by the amount of spectral overlap. Further, regardless of the spectral separation they are able to use AM-rate difference as a secondary/weaker cue. Based on the spectral differences, listeners can segregate auditory streams better as the listening duration is prolonged—i.e., sparse spectral cues elicit build-up segregation; however, AM-rate differences only appear to elicit build-up when in combination with spectral difference cues.
“…However, it is plausible that thresholds would be higher for more authentic musical stimuli (Butterfield, 2011), which are typically more varied and more complex. Indeed, numerous studies suggest that in general, the more varied the acoustic features (e.g., intensity, spectra) of the events within a pattern, the poorer temporal discrimination becomes (David et al, 2014;Divenyi and Danner, 1977;Grose et al, 2001;Penner, 1976;Phillips et al, 1997;Woods et al, 1979).…”
Swing, a popular technique in music performance, has been said to enhance the "groove" of the rhythm. Swing works by delaying the onsets of even-numbered subdivisions of each beat (e.g., 16th-note swing delays the onsets of the second and fourth 16th-note subdivisions of each quarter-note beat). The "swing magnitude" (loosely speaking, the amount of delay) is often quite small. And there has been little investigation, using musical stimuli, into what swing magnitudes listeners can detect. To that end, this study presented continually-looped electronic drum rhythms, with 16th-note swing in the hi-hat on every other bar, to drummers and non-drummers. Swing magnitude was adjusted using a staircase procedure, to determine the magnitude where the difference between swinging and not-swinging bars was just-noticeable. Different tempi (60 to 140 quarter-notes per minute) and swing densities (how often notes occurred at even-numbered subdivisions) were used. Results showed that all subjects could detect smaller swing magnitudes when swing density was higher, thus confirming a previous speculation that the perceptual salience of swing increases with swing density. The just-noticeable magnitudes of swing for drummers differed from those of non-drummers, in terms of both overall magnitude and sensitivity to tempo, thus prompting questions for further exploration.
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