Differences in voice quality between men and women: Use of the long-term average spectrum (LTAS)

Mendoza, E.; Valencia, Nieves; Muñoz, Juan Jesús López-Guadalupe; Trujillo, Humberto M.

doi:10.1016/s0892-1997(96)80019-1

Cited by 126 publications

(86 citation statements)

References 21 publications

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“…This could be due to the nature of the stimuli, that is, morphing male to female voices gives a smoother transition than morphing female to male voices. Indeed, there are acoustic differences between male and female voices that could give rise to different 'morphing characteristics' (Mendoza et al 1996). The spectral tilt of female voices is lower than that of male voices as a consequence of greater levels of aspiration noise, which causes the female voice to have a more ''breathy'' quality than the male voice (Mendoza et al 1996).…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, there are acoustic differences between male and female voices that could give rise to different 'morphing characteristics' (Mendoza et al 1996). The spectral tilt of female voices is lower than that of male voices as a consequence of greater levels of aspiration noise, which causes the female voice to have a more ''breathy'' quality than the male voice (Mendoza et al 1996). Furthermore, male voices show less interspeaker variation in spectral tilt, aspiration noise, and first-formant bandwidth, probably as a consequence of more complete glottal closure in males, leading to less energy loss at the glottis (Hanson and Chuang 1999).…”

Section: Discussionmentioning

confidence: 99%

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Gender in Voice Perception in Autism

Groen

Orsouw

Zwiers

et al. 2008

J Autism Dev Disord

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Deficits in the perception of social stimuli may contribute to the characteristic impairments in social interaction in high functioning autism (HFA). Although the cortical processing of voice is abnormal in HFA, it is unclear whether this gives rise to impairments in the perception of voice gender. About 20 children with HFA and 20 matched controls were presented with voice fragments that were parametrically morphed in gender. No differences were found in the perception of gender between the two groups of participants, but response times differed significantly. The results suggest that the perception of voice gender is not impaired in HFA, which is consistent with behavioral findings of an unimpaired voice-based identification of age and identity by individuals with autism. The differences in response times suggest that individuals with HFA use different perceptual approaches from those used by typically developing individuals.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Gender in Voice Perception in Autism

Groen

Orsouw

Zwiers

et al. 2008

J Autism Dev Disord

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“…The occurrence of LTAS peaks has been found to be related to voice quality (Leino, 1994;Nawka et al, 1997) or gender (Mendoza et al, 1996;White, 2001).…”

Section: Introductionmentioning

confidence: 99%

Effect on LTAS of vocal loudness variation

Nordenberg¹,

Sundberg²

2004

Logopedics Phoniatrics Vocology

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“…Humans can readily determine gender for most faces, and additional information from hairstyle, body shape, clothing, eyebrows, and posture will support the evidence gained from the visual image [20]. Acoustical differences between male and female voices have been discussed by various investigators [21]. Besides the differences between males and females in physical features, psychological and neural signals provide a dynamic cue for gender analysis.…”

Section: Challenges Of Gender Classificationmentioning

confidence: 99%

Human gender classification: a review

Zhuang

Long

et al. 2016

IJBM

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Abstract:The gender recognition is essential and critical for many applications in the commercial domains such as applications of human-computer interaction and computer-aided physiological or psychological analysis, since it contains a wide range of information regarding the characteristics difference between male and female. Some have proposed various approaches for automatic gender classification using the features derived from human bodies and/or behaviors. First, this paper introduces the challenge and application of gender classification research. Then, the development and framework of gender classification are described. We compare these state-of-the-art approaches, including vision-based methods, biological information-based methods, and social network informationbased methods, to provide a comprehensive review of gender classification research. Next we highlight the strength and discuss the limitation of each method. Finally, this review also discusses several promising applications for future work.

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Differences in voice quality between men and women: Use of the long-term average spectrum (LTAS)

Cited by 126 publications

References 21 publications

Gender in Voice Perception in Autism

Gender in Voice Perception in Autism

Effect on LTAS of vocal loudness variation

Human gender classification: a review

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