Open AccessJournal Article
The zero-crossing analysis of a speech signal in the short-term Method of automatic speaker identification
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In this article, the authors investigated the possibility of using the zero-crossing analysis of a speech signal in a short-term method of speaker identifi¬cation, which can find application in automatic speaker identification.Abstract:
The aim of this paper is to investigate the possibility of using the zero--crossing analysis of a speech signal in a short-term method of speaker identifi¬cation. Four sets of parameters obtained with the aid of the zero-crossing analy¬sis are presented which can find application in automatic speaker identification. An experiment of speaker identification for 20 male speakers has been performed. The obtained results have confirmed the applicability of the method of zero--crossing analysis for tracking individual features of voices.read more
Citations
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Book ChapterDOI
Speaker Recognition: A Survey
TL;DR: This paper presents a unified discussion of the scientific and practical issues in the field of speaker recognition, and distinguishes between the Verification and Identification tasks.
Journal ArticleDOI
Experiments of automatic speaker recognition in open sets
TL;DR: The methodological assumptions and experimental results show that the proposed open set voice recognition method is very flexible and makes it possible to adjust global characteristics, i.e. α and β errors, to the strategy adopted by the recognition system.
Journal Article
Automatic voice recognition in open sets
TL;DR: In this paper, a classifier for automatic voice recognition can be divided into three parts: the voice source, the measuring system (the system of parameter extraction) and the classifier, in which emphasis is laid upon the procedure capable of recognizing voices in open sets.
References
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Journal ArticleDOI
Automatic recognition of speakers from their voices
TL;DR: The paper indudes a discussion of the speaker-dependent properties of the speech signal, methods for selecting an efficient set of speech measurements, results of experimental studies illustrating the performance of various methods of speaker recognition, and a comparision of theperformance of automatic methods with that of human listeners.
Journal ArticleDOI
Speech amplitude and zero crossings for automated identification of human speakers
D. Wasson,R. Donaldson +1 more
TL;DR: Speech amplitude, low-pass and high-pass zero-crossing rates were represented as weighted sums of orthonormal functions and the weighting coefficients were used to identify unknown speakers.