An unsupervised, sequential learning algorithm for the segmentation of speech waveforms with multiple speakers
- 1 January 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (15206149) , 189-192 vol.2
- https://doi.org/10.1109/icassp.1992.226088
Abstract
The authors present a method for segmenting speech waveforms containing several speakers into utterances, each from one individual, and then identifying each utterance as coming from a specific individual or group of individuals. The procedure is unsupervised in that there is no training set, and sequential in that information obtained in early stages of the process is utilized in later stages.<>Keywords
This publication has 3 references indexed in Scilit:
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- Segregation of speakers for speech recognition and speaker identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Segmenting speech using dynamic programmingThe Journal of the Acoustical Society of America, 1981