Unsupervised Speaker Change Detection using Probabilistic Pattern Matching

Malegaonkar, A., Ariyaeeinia, A., Sivakumaran, P. and Fortuna, J. (2006) Unsupervised Speaker Change Detection using Probabilistic Pattern Matching. IEEE Signal Processing Letters, 13 (8). pp. 509-512. ISSN 1070-9908

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This letter presents an investigation into the use of a probabilistic pattern matching approach for detecting speaker changes in audio streams. The experiments are conducted using clean speech as well as broadcast news material. It is shown that, in the proposed approach, the use of bilateral scoring is considerably more effective than unilateral scoring. Appropriate score normalization methods are considered in the study. It is observed that in all the cases, the bilateral scoring approach outperforms the currently popular method of Bayesian information criterion (BIC) for speaker change detection. This letter discusses the principles of the proposed approach and details the experimental investigations.

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Date Deposited	15 May 2025 11:41
Last Modified	25 Feb 2026 00:18