Emotional speech recognition is the problem of discriminating speech samples by their emotional content. Our solution to this problem lies on three areas: signal processing, computational linguistics, and statistical learning. At signal processing and computational linguistics levels, identification and extraction of speech features is concerned; proposed in this work is a set of acoustic and l...

Understanding three simultaneous speeches is proposed as a challenge problem to foster arti cial intelligence, speech and sound understanding or recognition, and computational auditory scene analysis research. Automatic speech recognition under noisy environments is attacked by speech enhancement techniques such as noise reduction and speaker adaptation. However, the signal-to-noise ratio of sp...

To control intuitively the intensities of emotional expressions and speaking styles for synthetic speech, we introduce subjective style intensities and multiple-regression global variance (MRGV) models into hidden Markov model (HMM)-based expressive speech synthesis. A problem in the conventional parametric style modeling and style control techniques is that the intensities of styles appearing ...

Speech enhancement and recognition in noisy, reverberant conditions is a challenging open problem. We present a new approach to this problem, which is developed in the framework of probabilistic modeling. Our approach incorporates information about the statistical structure of speech signals using a speech model, which is pre-trained on a large dataset of clean speech. The speech model is a com...

Speech enhancement and recognition in noisy, reverberant conditions is a challenging open problem. We present a new approach to this problem, which is developed in the framework of probabilistic modeling. Our approach incorporates information about the statistical structure of speech signals using a speech model, which is pre-trained on a large dataset of clean speech. The speech model is a com...

We examined whether the orientation of the face influences speech perception in face-to-face communication. Participants identified auditory syllables, visible syllables, and bimodal syllables presented in an expanded factorial design. The syllables were /ba/, /va/, /oa/, or /da/. The auditory syllables were taken from natural speech whereas the visible syllables were produced by computer anima...

This study investigated the effects of computer-based auditory training software (Otto’s World of Sound) on auditory discrimination, speech perception and auditory attention skills in New Zealand children who have a hearing impairment. Four school-age participants with moderate to profound hearing loss participated in the study. A pre versus post test case study series design was employed to ob...