Kyoko Sakuraba

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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)
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)
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)
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