Auditory traits of "own voice"

Kimura, Marino; Yotsumoto, Yuko

doi:10.1371/journal.pone.0199443

Cited by 21 publications

(30 citation statements)

References 28 publications

(29 reference statements)

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“…The filter type rated as the most similar to the own-voice differed across subjects. This individual difference was consistent with our previous study 14 . Such individual differences are reasonable because the bone structures and frequencies of the voices were different across subjects, and the magnitudes of bone and air conduction depend on the sound frequency 44 .…”

Section: Discussionsupporting

confidence: 94%

“…In the fMRI scanner, 3 subjects chose the raw recorded voice as most representative of their own voice, while 14 rated the modified voices as most like their own voice. Individual differences were found in the own-voice scores in both environments, indicating that there was no general filter that could reproduce own-voice, as we previously reported 14 . Even though each subject tried to reproduce their own voice by adjusting the pitch, vibrato, and frequency cut-off filter, only a few subjects rated the adjusted voice as the one most similar to their own voice.…”

Section: Resultssupporting

confidence: 42%

“…We called these ratings the “own-voice score.” The ratings were conducted once in a soundproof room (Session 2) and once during an fMRI scan (Session 3). Because we expected large individual differences in terms of filters that reproduce own voices 14 and we did not know how the fMRI environment affects our stimuli, we calculated BOLD signal changes separately for each subject based on the behavioral ratings in the fMRI scanner, not on the filter types.

Figure 1 Experimental methods.…”

Section: Introductionmentioning

confidence: 99%

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Neural representations of own-voice in the human auditory cortex

Hosaka

Kimura

Yotsumoto

2021

Sci Rep

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We have a keen sensitivity when it comes to the perception of our own voices. We can detect not only the differences between ourselves and others, but also slight modifications of our own voices. Here, we examined the neural correlates underlying such sensitive perception of one’s own voice. In the experiments, we modified the subjects’ own voices by using five types of filters. The subjects rated the similarity of the presented voices to their own. We compared BOLD (Blood Oxygen Level Dependent) signals between the voices that subjects rated as least similar to their own voice and those they rated as most similar. The contrast revealed that the bilateral superior temporal gyrus exhibited greater activities while listening to the voice least similar to their own voice and lesser activation while listening to the voice most similar to their own. Our results suggest that the superior temporal gyrus is involved in neural sharpening for the own-voice. The lesser degree of activations observed by the voices that were similar to the own-voice indicates that these areas not only respond to the differences between self and others, but also respond to the finer details of own-voices.

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Section: Discussionsupporting

confidence: 94%

Section: Resultssupporting

confidence: 42%

Figure 1 Experimental methods.…”

Section: Introductionmentioning

confidence: 99%

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Neural representations of own-voice in the human auditory cortex

Hosaka

Kimura

Yotsumoto

2021

Sci Rep

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“…The results of Experiment 2 showed that people rated their recorded voice and the “loudness+/−10 dB” audio recordings as more attractive than the “pitch+/−20 Hz” audio recordings. In recent years, an increasing number of studies have found that people like their recorded voices (Fraccaro et al, ; Hughes & Harrison, ), as people are tending to use more recording equipment or software in the modern digital media age and have thus become more familiar with their recorded voices (Kimura & Yotsumoto, ). This familiarity may result in liking.…”

Section: Discussionmentioning

confidence: 99%

One's own and similar voices are more attractive than other voices

Peng

Wang

Meng

et al. 2019

Australian Journal of Psychology

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Objective The aim of the present study was to explore whether people consider their own voice to be more attractive than others and whether the self‐enhancement bias of one's own voice could be generalised to other variants of self‐voice. Method Two experiments were conducted. In Experiment 1, female and male participants were asked to rate the attractiveness of three types of audio recordings (numbers, vowels, words) from same‐sex participants. In Experiment 2, the participants were instructed to rate the attractiveness of six types of audio signals: their own original voice, their recorded voice, a “pitch+20 Hz” audio recording, a “pitch−20 Hz” audio recording, a “loudness+10 dB” audio recording, and a “loudness−10 dB” audio recording. The participants also rated the similarity between the given audio signals and their own voices. Results Experiment 1 showed that the participants rated their own audio recordings as more attractive than others rated their audio recordings, and they rated their own audio recordings as more attractive than those of others. Experiment 2 revealed that the participants rated the recorded voices and the “loudness+/−10 dB” audio recordings as more attractive and similar than the “pitch+/−20 Hz” audio recordings. Conclusions The present study demonstrates that people evaluate their own voices as more attractive than the voices of others and that the self‐enhancement bias of voice attractiveness can be generalised to similar and familiar versions of self‐voice.

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“…Although recordings of self-voice can produce a feeling of eeriness for listeners as compared to when spoken (Kimura et al, 2018), people nevertheless recognize recorded voice samples as their own (Nakamura et al, 2001;Kaplan et al, 2008;Rosa et al, 2008;Hughes & Nicholson, 2010;Xu et al, 2013;Candini et al, 2014;Pinheiro et al, 2016aPinheiro et al, , 2016bPinheiro et al, , 2019. However, in ambiguous conditions (i.e.…”

Section: Variability In Self-monitoring Thresholdsmentioning

confidence: 99%

Expectancy changes the self-monitoring of voice identity

Johnson

Belyk

Schwartze

et al. 2020

Preprint

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Self-voice attribution can become difficult when voice characteristics are ambiguous, and functional magnetic resonance imagines (fMRI) investigations of such ambiguity are sparse. We utilized voice-morphing (self-other) to manipulate (un-)certainty in self-voice attribution in a button-press paradigm. This allowed investigating how levels of self-voice certainty alter brain activation in regions monitoring voice identity areas and unexpected changes in voice playback quality. FMRI results confirm a self-voice suppression effect in the right anterior superior temporal gyrus (aSTG) when self-voice attribution was unambiguous. Although the right inferior frontal gyrus (IFG) was more active during self-generated voice compared to when passively-heard, the putative role of this region in detecting unexpected self-voice changes was not confirmed. Further research on the link between right aSTG and IFG is required and may establish a threshold monitoring voice identity in action. The current results have implications for a better understanding of an altered experience of self-voice feedback leading to auditory verbal hallucinations.

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Auditory traits of "own voice"

Cited by 21 publications

References 28 publications

Neural representations of own-voice in the human auditory cortex

Neural representations of own-voice in the human auditory cortex

One's own and similar voices are more attractive than other voices

Expectancy changes the self-monitoring of voice identity

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