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An Overview of Speaker Recognition and Implementation of Speaker Diarization with Transcription

by Arthav Mane, Janhavi Bhopale, Ria Motghare, Priya Chimurkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 31
Year of Publication: 2020
Authors: Arthav Mane, Janhavi Bhopale, Ria Motghare, Priya Chimurkar
10.5120/ijca2020920867

Arthav Mane, Janhavi Bhopale, Ria Motghare, Priya Chimurkar . An Overview of Speaker Recognition and Implementation of Speaker Diarization with Transcription. International Journal of Computer Applications. 175, 31 ( Nov 2020), 1-6. DOI=10.5120/ijca2020920867

@article{ 10.5120/ijca2020920867,
author = { Arthav Mane, Janhavi Bhopale, Ria Motghare, Priya Chimurkar },
title = { An Overview of Speaker Recognition and Implementation of Speaker Diarization with Transcription },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2020 },
volume = { 175 },
number = { 31 },
month = { Nov },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number31/31646-2020920867/ },
doi = { 10.5120/ijca2020920867 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:39:56.666252+05:30
%A Arthav Mane
%A Janhavi Bhopale
%A Ria Motghare
%A Priya Chimurkar
%T An Overview of Speaker Recognition and Implementation of Speaker Diarization with Transcription
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 31
%P 1-6
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an overview of the generic process of a speaker recognition system and an implementation of its usage in a speaker diarization process. The motivation behind this paper is to present a simple implementation of a speaker diarization system that inculcates the usage of speaker recognition, speech segmentation and speech transcription. On the basis of various speech features such as Mel Frequency Cepstral Coefficients (MFCCs), Joint Factor Analysis (JFA), i-vectors, Probabilistic Linear Discriminant Analysis (PLDA), etc., speaker modelling is done to train Gaussian Mixture Models (GMMs), Hidden Markov Models (HMMs) and to use clustering. Speaker diarization is then implemented to get speakers speech segments which are then converted into text for the user. The methods discussed, and thus implemented, emphasize on maximum identification rate and minimal error in order to develop the functionality of speaker diarization and audio transcription and are aimed at helping the user to create a manuscript of the conversations that take place between multiple people.

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Index Terms

Computer Science
Information Sciences

Keywords

Speaker Recognition Speaker Modelling Audio Segmentation Speaker Diarization Speech Processing Speech Recognition Transcription

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