SdSV Challenge 2020: Large-Scale Evaluation of Short-duration Speaker Verification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138637" target="_blank" >RIV/00216305:26230/20:PU138637 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.isca-speech.org/archive/Interspeech_2020/pdfs/1485.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2020/pdfs/1485.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2020-1485" target="_blank" >10.21437/Interspeech.2020-1485</a>

Jazyk výsledku

angličtina

Název v původním jazyce

SdSV Challenge 2020: Large-Scale Evaluation of Short-duration Speaker Verification

Popis výsledku v původním jazyce

Modern approaches to speaker verification represent speech utterances as fixed-length embeddings. With these approaches, we implicitly assume that speaker characteristics are independent of the spoken content. Such an assumption generally holds when sufficiently long utterances are given. In this context, speaker embeddings, like i-vector and x-vector, have shown to be extremely effective. For speech utterances of short duration (in the order of a few seconds), speaker embeddings have shown significant dependency on the phonetic content. In this regard, the SdSV Challenge 2020 was organized with a broad focus on systematic benchmark and analysis on varying degrees of phonetic variability on short-duration speaker verification (SdSV). In addition to text-dependent and text-independent tasks, the challenge features an unusual and difficult task of cross-lingual speaker verification (English vs. Persian). This paper describes the dataset and tasks, the evaluation rules and protocols, the performance metric, baseline systems, and challenge results. We also present insights gained from the evaluation and future research directions.

Název v anglickém jazyce

SdSV Challenge 2020: Large-Scale Evaluation of Short-duration Speaker Verification

Popis výsledku anglicky

Modern approaches to speaker verification represent speech utterances as fixed-length embeddings. With these approaches, we implicitly assume that speaker characteristics are independent of the spoken content. Such an assumption generally holds when sufficiently long utterances are given. In this context, speaker embeddings, like i-vector and x-vector, have shown to be extremely effective. For speech utterances of short duration (in the order of a few seconds), speaker embeddings have shown significant dependency on the phonetic content. In this regard, the SdSV Challenge 2020 was organized with a broad focus on systematic benchmark and analysis on varying degrees of phonetic variability on short-duration speaker verification (SdSV). In addition to text-dependent and text-independent tasks, the challenge features an unusual and difficult task of cross-lingual speaker verification (English vs. Persian). This paper describes the dataset and tasks, the evaluation rules and protocols, the performance metric, baseline systems, and challenge results. We also present insights gained from the evaluation and future research directions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

ISBN

—

ISSN

1990-9772

e-ISSN

—

Počet stran výsledku

5

Strana od-do

731-735

Název nakladatele

International Speech Communication Association

Místo vydání

Shanghai

Místo konání akce

Sanghai

Datum konání akce

25. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000833594100152