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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
101

Speaker normalizing transforms in speech recogniton by computer

Sejnoha, Vladimir. January 1982 (has links)
No description available.
102

Speaker recognition using digit utterances

Scrimgeour, J. Michael. January 1984 (has links)
No description available.
103

Automatic speechreading for improved speech recognition and speaker verification

Zhang, Xiaozheng 05 1900 (has links)
No description available.
104

Audio-visual interaction in multimedia

Rao, Ram Raghavendra 05 1900 (has links)
No description available.
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.
106

Objectively measured descriptors for perceptual characterization of speakers

Necioğlu, Burhan F. 05 1900 (has links)
No description available.
107

Pitch detection using the short-term phase spectrum

Cesbron, Fred́eŕique Chantal 08 1900 (has links)
No description available.
108

The use of prosody in speech recognition systems

De Backer, Philippe Paul 08 1900 (has links)
No description available.
109

Speaker-independent access to a large lexicon

Mathan, Luc Stefan January 1987 (has links)
No description available.
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.

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