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 [BibTeX] [Marc21]
Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition
Type of publication: Idiap-RR
Citation: BenZeghiba-04-23
Number: Idiap-RR-23-2004
Year: 2004
Institution: IDIAP
Abstract: This paper investigates a new approach to perform simultaneous speech and speaker recognition. The likelihood estimated by a speaker identification system is combined with the posterior probability estimated by the speech recognizer. So, the joint posterior probability of the pronounced word and the speaker identity is maximized. A comparison study with other standard techniques is carried out in three different applications, (1) closed set speech and speaker identification, (2) open set speech and speaker identification and (3) speaker quantization in speaker-independent speech recognition.
Userfields: ipdmembership={speech},
Projects Idiap
Authors BenZeghiba, Mohamed Faouzi
Bourlard, Hervé
Crossref by BenZeghiba-icslp-04
Added by: [UNK]
Total mark: 0
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