Unsupervised text independent speaker classification

A. Cohen, V. Lapidus

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Speaker recognition and verification has been used in a variety of commercial, forensic and military applications. The classical problem is that of supervised recognition, in which there is sufficient a priori information on the speakers to be identified. In such cases, the recognition system has speaker models, estimated during training sessions. This paper deals with the problem of unsupervised speaker classification, where no a priori speaker information is available. The algorithm accepts multi-speaker dialogue speech data, estimates the number of speakers and assigns each speech segment to its speaker. Preliminary results are described.

Original languageEnglish
Pages3.2.2/1-5
StatePublished - 1 Jan 1995
EventProceedings of the 18th Convention of Electrical and Electronics Engineers in Israel - Tel Aviv, Isr
Duration: 7 Mar 19958 Mar 1995

Conference

ConferenceProceedings of the 18th Convention of Electrical and Electronics Engineers in Israel
CityTel Aviv, Isr
Period7/03/958/03/95

ASJC Scopus subject areas

  • Engineering (all)

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