2001: A Speaker Odyssey - The Speaker Recognition Workshop

June 18-22, 2001
Crete, Greece

Integrating Speaker and Speech Recognizers: Automatic Identity Claim Capture for Speaker Verification

Larry P. Heck, Dominique Genoud

Nuance Communications, Menlo Park, CA, USA

This paper presents a novel approach to the integration of a speech and speaker recognizer for the purpose of automatically capturing an identity claim of a user. The approach integrates the speaker recognition score into the search process of the speech recognizer resulting in a best hypothesis that jointly optimizes the probability of the word sequence and the speaker. This facilitates the use of a natural speech-based interface, where the identity claim can be ambiguous and relatively difficult to recognize (e.g., names). This paper presents a theoretical framework for the integration of speech and speaker recognition systems. In addition, experimental results are presented that show a 35% reduction in the NL-error rate of an over-the-telephone speech recognition task, where the testset consists of users from a US city of size 1 million identifying themselves by simply speaking their name.

Full Paper   Presentation

Bibliographic reference.  Heck, Larry P. / Genoud, Dominique (2001): "Integrating speaker and speech recognizers: Automatic identity claim capture for speaker verification", In ODYSSEY-2001, 249-254.