Kyoko Sakuraba

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Speech communication has several steps of production, encoding, transmission, decoding, and hearing. In every step, acoustic distortions are involved inevitably as differences of vocal tract length, gender , age, microphone, room, line, hearing characteristics, etc. These are static non-linguistic factors and completely irrelevant to speech recognition.(More)
There are may exist some common factors independent of languages and cultures in human perception of emotion via speech sounds. This study investigated the factors using subjects from Japan, the United States and China, all of whom have no experience living abroad. An emotional speech database sans linguistic information was used in this study and evaluated(More)
This paper describes the development of an estimator of perceptual femininity (PF) of an input utterance using speaker recognition techniques. The estimator was designed for its clinical use and the target speakers are gender identity disorder (GID) clients, especially MtF (male to female) transsexuals. The voice therapy for MtFs is composed of three kinds(More)
This work describes the development of an automatic esti-mator of perceptual femininity (PF) of an input utterance using speaker verification techniques. The estimator was designed for its clinical use and the target speakers are Gender Identity Disorder (GID) clients, especially MtF (Male to Female) transsexuals. The voice therapy for MtFs, which is(More)
In speech communication, acoustic distortions are inevitably involved by speakers, channels, and hearers. However, infants acquire a spoken language mainly with speech samples of their mothers and fathers. They can solve the variability problem only with a remarkably biased speech corpus. Why and how is it possible? To answer this hard question, we already(More)
This paper proposes a new method of estimating perceptual femininity (PF) of an input utterance using Gaussian Mixture Model (GMM) supervectors and support vector regression (SVR). The method is used to develop a femininity estimation tool, which is introduced to voice therapy of Gender Identity Disorder (GID) clients, especially MtF (Male to Female)(More)
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