The Effects of Musical Training on Speech Detection in the Presence of Informational and Energetic Masking

Morse-Fortier, Charlotte; Parrish, Mary M; Baran, Jane A.; Freyman, Richard L.

doi:10.1177/2331216517739427

Cited by 17 publications

(8 citation statements)

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“…showed a large musician advantage for speech understanding in the presence of competing speech, a task that depends strongly on segregation according to voice cues, including voice pitch (Assmann & Summerfield, 1990;Brungart, 2001). However, previous studies have also shown mixed results for musician advantages in speech perception (Boebinger et al, 2015;Clayton et al, 2016;Deroche, Limb, Chatterjee, & Gracco, 2017;Maden, Whiteford, & Oxenham, 2017;Morse-Fortier, Parrish, Baran, & Freyman, 2017;Parbery-Clark, Skoe, Lam, & Kraus, 2009;Ruggles, Freyman, & Oxenham, 2014;Swaminathan et al, 2015;Zendel & Alain, 2012), with some studies showing substantial musician advantages and others showing only weak effects. Thus, while musical training clearly benefits music perception, a within-domain effect, the benefits for speech perception, a cross-domain effect, are less clear.…”

Section: Introductionmentioning

confidence: 98%

Comparison of Two Music Training Approaches on Music and Speech Perception in Cochlear Implant Users

et al. 2018

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In normal-hearing (NH) adults, long-term music training may benefit music and speech perception, even when listening to spectro-temporally degraded signals as experienced by cochlear implant (CI) users. In this study, we compared two different music training approaches in CI users and their effects on speech and music perception, as it remains unclear which approach to music training might be best. The approaches differed in terms of music exercises and social interaction. For the pitch/timbre group, melodic contour identification (MCI) training was performed using computer software. For the music therapy group, training involved face-to-face group exercises (rhythm perception, musical speech perception, music perception, singing, vocal emotion identification, and music improvisation). For the control group, training involved group nonmusic activities (e.g., writing, cooking, and woodworking). Training consisted of weekly 2-hr sessions over a 6-week period. Speech intelligibility in quiet and noise, vocal emotion identification, MCI, and quality of life (QoL) were measured before and after training. The different training approaches appeared to offer different benefits for music and speech perception. Training effects were observed within-domain (better MCI performance for the pitch/timbre group), with little cross-domain transfer of music training (emotion identification significantly improved for the music therapy group). While training had no significant effect on QoL, the music therapy group reported better perceptual skills across training sessions. These results suggest that more extensive and intensive training approaches that combine pitch training with the social aspects of music therapy may further benefit CI users.

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Section: Introductionmentioning

confidence: 98%

Comparison of Two Music Training Approaches on Music and Speech Perception in Cochlear Implant Users

et al. 2018

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Section: Introductionmentioning

confidence: 99%

“…A second goal of this study was to investigate transfer of musical training to the perception of speech in complex environments. There have been many reports of a musician advantage for speech perception in speech maskers (Başkent & Gaudrain, 2016; Clayton et al, 2016; Deroche, Limb, Chatterjee, & Gracco, 2017; Du and Zatorre, 2017; Meha-Bettison, Sharma, Ibrahim, & Mandikal Vasuki, 2018; Morse-Fortier, Parrish, Baran, & Freyman, 2017; Parbery-Clark, Skoe, Lam, & Kraus, 2009; Slater & Kraus, 2016; Swaminathan et al, 2015; Yeend et al, 2017; Zendel & Alain, 2012; for a review, see Coffey, Mogilever, & Zatorre, 2017). However, there have also been several which did not demonstrate this putative musician advantage (Boebinger et al, 2015; Fuller, Galvin, Maat, Free, & Başkent, 2014; Madsen, Whiteford, & Oxenham, 2017; Ruggles, Freyman, & Oxenham, 2014).…”

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confidence: 99%

“…When playing in large ensembles musicians must learn to direct their attention to a single sound source within a highly complex acoustic environment using melodic and rhythmic information, an experience that may lead to domain-general enhancements in the control of auditory attention (Rodrigues, Loureiro, & Caramelli, 2013; Tervaniemi, Just, Koelsch, Widmann, & Schröger, 2005; Tervaniemi et al, 2009). Moreover, musicians show less informational masking during tone detection (Oxenham, Fligor, Mason, & Kidd, 2003) and the musician advantage for speech-in-speech perception is larger in high-informational-masking conditions (Morse-Fortier et al, 2017; but see Swaminathan et al, 2015, who showed a musician advantage only in a low-informational-masking condition). Carey et al (2015) however, found no musician advantage in a more naturalistic nonverbal informational masking paradigm using environmental sound scenes.…”

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confidence: 99%

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Speech-in-speech perception, nonverbal selective attention, and musical training.

Tierney¹,

Rosen

Dick³

2020

Journal of Experimental Psychology: Learning, Memory, and Cogni

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Speech is more difficult to understand when it is presented concurrently with a distractor speech stream. One source of this difficulty is that competing speech can act as an attentional lure, requiring listeners to exert attentional control to ensure that attention does not drift away from the target. Stronger attentional control may enable listeners to more successfully ignore distracting speech, and so individual differences in selective attention may be one factor driving the ability to perceive speech in complex environments. However, the lack of a paradigm for measuring non-verbal sustained selective attention to sound has made this hypothesis difficult to test. Here we find that individuals who are better able to attend to a stream of tones and respond to occasional repeated sequences while ignoring a distractor tone stream are also better able to perceive speech masked by a single distractor talker. We also find that participants who have undergone more musical training show better performance on both verbal and non-verbal selective attention tasks, and this musician advantage is greater in older participants. This suggests that one source of a potential musician advantage for speech perception in complex environments may be experience or skill in directing and maintaining attention to a single auditory object.

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“…Prior studies comparing cognitive abilities in musicians and non-musicians have found that musicians display an advantage for selective attention in both visual (48) and auditory (49)(50)(51)(52)(53)(54)(55)(56); but see [57][58] stimuli. This suggests that the neural mechanisms underlying selective attention may be responsive to training.…”

Section: Introductionmentioning

confidence: 99%

Attentional modulation of neural phase is enhanced by short-term training and linked to musical experience

Laffere

Dick

Tierney

2019

Preprint

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How does the brain follow a sound that is mixed with others in a noisy environment? A possible strategy is to allocate attention to task-relevant time intervals while suppressing irrelevant intervals -a strategy that could be implemented by aligning neural modulations with critical moments in time. Here we tested whether selective attention to non-verbal sound streams is linked to shifts in the timing of attentional modulations of EEG activity, and investigated whether this neural mechanism can be enhanced by short-term training and musical experience. Participants performed a memory task on a target auditory stream presented at 4 Hz while ignoring a distractor auditory stream also presented at 4 Hz, but with a 180-degree shift in phase. The two attention conditions were linked to a roughly 180-degree shift in phase in the EEG signal at 4 Hz. Moreover, there was a strong relationship between performance on the 1-back task and the timing of the EEG modulation with respect to the attended band. EEG modulation timing was also enhanced after several days of training on the selective attention task and enhanced in experienced musicians. These results support the hypothesis that modulation of neural timing facilitates attention to particular moments in time and indicate that phase timing is a robust and reliable marker of individual differences in auditory attention. Moreover, these results suggest that nonverbal selective attention can be enhanced in the short term by only a few hours of practice and in the long term by years of musical training.

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The Effects of Musical Training on Speech Detection in the Presence of Informational and Energetic Masking

Cited by 17 publications

References 47 publications

Comparison of Two Music Training Approaches on Music and Speech Perception in Cochlear Implant Users

Comparison of Two Music Training Approaches on Music and Speech Perception in Cochlear Implant Users

Speech-in-speech perception, nonverbal selective attention, and musical training.

Attentional modulation of neural phase is enhanced by short-term training and linked to musical experience

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