Detection of Overlapping Speech for the Purposes of Speaker Diarization

Result code in IS VaVaI

RIV/49777513:23520/19:43956394 - isvavai.cz

Result on the web

https://link.springer.com/chapter/10.1007%2F978-3-030-26061-3_26

DOI - Digital Object Identifier

10.1007/978-3-030-26061-3_26

Result language

angličtina

Original language name

Detection of Overlapping Speech for the Purposes of Speaker Diarization

Original language description

The presence of overlapping speech has a significant negative impact on the performance of speaker diarization systems. In this paper, we employ a convolutional neural network for the detection of such speech intervals and evaluate it in terms of the potential improvements to speaker diarization. We train the network on specifically-created synthetic data, while the evaluation is performed on the AMI Corpus and the SSPNet Conflict Corpus.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

DG16P02B048: System for permanent preservation of documentation and presentation of historical sources from the period of totalitarian regimes

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Speech and Computer, 21st International Conference, SPECOM 2019, Istanbul, Turkey, August 20-25,2019, Proceedings

ISBN

978-3-030-26060-6

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

11

Pages from-to

247-257

Publisher name

Springer

Place of publication

Cham

Event location

Instanbul, Turkey

Event date

Aug 20, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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