ESCA Workshop on Automatic Speaker Recognition, Identification, and Verification

Martigny, Switzerland
April 7-9, 1994

The Use of the Pitch to Improve an HMM based Speaker Recognition Method

Vincent Dubreucq, Claude Vloeberghs

Telecom division, Royal Military Academy of Brussels, Belgium

This article describes an automatic text-independent speaker recognition method based on phonetic Hidden Markov Models (HMM) [1],[2]. The challenge of our method is to reduce the duration of the test phase: only one sentence is requested for the speaker verification. We will describe how the pitch can be used to improve the automatic phoneme segmentation of a sentence and thus also the training and testing phases of the method, reducing the error rates.

We are currently studying a totally different approach that we'll briefly present: the pitch histogram method. This method is only based on the pitch values: each speaker is characterised by his/her pitch frequency histogram. It's not proposed as a complete solution by itself, but could be included as a new feature in a more complete recognition system.

Full Paper

Bibliographic reference.  Dubreucq, Vincent / Vloeberghs, Claude (1994): "The use of the pitch to improve an HMM based speaker recognition method", In ASRIV-1994, 15-18.