8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

Mohamed Faouzi Ben Zeghiba, Hervé Bourlard

IDIAP, Switzerland

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.

Full Paper

Bibliographic reference.  Ben Zeghiba, Mohamed Faouzi / Bourlard, Hervé (2004): "Posteriori probabilities and likelihoods combination for speech and speaker recognition", In INTERSPEECH-2004, 2345-2348.