Investigation of text-independent speaker identification techniques under conditions of variable data

24 March 2005

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 9, 89-92
https://doi.org/10.1109/icassp.1984.1172552

Abstract

In this paper, we examine several methods for text-independent speaker identification and discuss the problem of achieving robust performance. In a previous paper [1], we have described a radio-channel database that contains highly variable speech data of poor quality. Here, we describe several experiments with the radio-channel database leading to the development of robust features and methods. These experiments show that robustness to one degradation may not be sufficient to improve speaker identification accuracy. A robust feature set and modeling and classification method should mitigate the effects of many of the degradations in the data.

Keywords

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