Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

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.


Year:
2004
Publisher:
IDIAP
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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