ScholarLens Back to search
2012•Unpublished venueRequires access

A realization of an automatic speaker identification

Ivan Jokić, S. Jokić, Vlado Delić

Open publisher page 0 citations

Abstract

This paper describes a method of realization of an automatic speaker identification. Speaker identification was performed within a speech database of 20 speakers, regardless of the text that they uttered, based on speech features in the form of mel-frequency coefficients, while the speaker modeling was performed using the appropriate multidimensional Gaussian distribution. The recognition results are given for the speech database of 20 speakers. The number of MFCCs, the type of window functions and their overlap, are varied in the experiments.

About this research paper

What this paper is about

This paper describes a method of realization of an automatic speaker identification. Speaker identification was performed within a speech database of 20 speakers, regardless of the text that they uttered, based on speech features in the form of mel-frequency coefficients, while the speaker modeling was performed using the appropriate multidimensional Gaussian distribution. The recognition results are given for the speech database of 20 speakers. The number of MFCCs, the type of window functions and their overlap, are varied in the experiments.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper describes a method of realization of an automatic speaker identification. Speaker identification was performed within a speech database of 20 speakers, regardless of the text that they uttered, based on speech features in the form of mel-frequency coefficients, while the speaker modeling was performed using the appropriate multidimensional Gaussian distribution. The recognition results are given for the speech database of 20 speakers. The number of MFCCs, the type of window functions and their overlap, are varied in the experiments.

Key concepts: Realization (probability), Speaker identification, Computer science, Speech recognition, Speaker recognition, Speaker diarisation, Identification (biology), Mel-frequency cepstrum

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
A realization of an automatic speaker identification — Research Paper | ScholarLens