Global ETD Search

101	Speaker normalizing transforms in speech recogniton by computer Sejnoha, Vladimir. January 1982 (has links) No description available. Speech processing systems. Automatic speech recognition.
102	Speaker recognition using digit utterances Scrimgeour, J. Michael. January 1984 (has links) No description available. Automatic speech recognition. Speech processing systems.
103	Automatic speechreading for improved speech recognition and speaker verification Zhang, Xiaozheng 05 1900 (has links) No description available. Automatic speech recognition Speech perception Identification Automation
104	Audio-visual interaction in multimedia Rao, Ram Raghavendra 05 1900 (has links) No description available. Speech processing systems Automatic speech recognition
105	Large hidden Markov model state interpretation as applied to automatic phonetic segmentation and labeling Pepper, David J. 12 1900 (has links) No description available. Markov processes Automatic speech recognition Phonetics
106	Objectively measured descriptors for perceptual characterization of speakers Necioğlu, Burhan F. 05 1900 (has links) No description available. Speech processing systems Automatic speech recognition
107	Pitch detection using the short-term phase spectrum Cesbron, Fred́eŕique Chantal 08 1900 (has links) No description available. Automatic speech recognition Prosodic analysis (Linguistics)
108	The use of prosody in speech recognition systems De Backer, Philippe Paul 08 1900 (has links) No description available. Automatic speech recognition Prosodic analysis (Linguistics)
109	Speaker-independent access to a large lexicon Mathan, Luc Stefan January 1987 (has links) No description available. Speech processing systems. Automatic speech recognition.
110	Speaker adaptation in joint factor analysis based text independent speaker verification Shou-Chun, Yin, 1980- January 2006 (has links) This thesis presents methods for supervised and unsupervised speaker adaptation of Gaussian mixture speaker models in text-independent speaker verification. The proposed methods are based on an approach which is able to separate speaker and channel variability so that progressive updating of speaker models can be performed while minimizing the influence of the channel variability associated with the adaptation recordings. This approach relies on a joint factor analysis model of intrinsic speaker variability and session variability where inter-session variation is assumed to result primarily from the effects of the transmission channel. These adaptation methods have been evaluated under the adaptation paradigm defined under the NIST 2005 speaker recognition evaluation plan which is based on conversational telephone speech. Speech processing systems. Automatic speech recognition.

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