Post-processing of the Recognized Speech for Web Presentation of Large Audio Archive

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F12%3A%230002011" target="_blank" >RIV/46747885:24220/12:#0002011 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/46747885:24510/12:#0000918

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Post-processing of the Recognized Speech for Web Presentation of Large Audio Archive

Popis výsledku v původním jazyce

This paper deals with a post-processing phase of automatic transcription of spoken documents stored in the large Czech Radio audio archive (containing hundreds of thousands of recordings). The ultimate goal of the project is to transcribe them and to allow public access to their content. In this paper we focus on methods and algorithms for unsupervised post-processing of automatically recognized recordings. The post-processing is adapted for the needs of the web presentation of the archive. Up to now ithas been used to process about 60,000 audio documents. We present the overall structure of the system as well as its core modules - speech recognition engine, speaker diarization module and final text processing. Special attention is paid to the punctuation issue. The punctuation accuracy is evaluated and compared to human use. In the final part of the paper we propose further improvements and ideas for the future research.

Název v anglickém jazyce

Post-processing of the Recognized Speech for Web Presentation of Large Audio Archive

Popis výsledku anglicky

This paper deals with a post-processing phase of automatic transcription of spoken documents stored in the large Czech Radio audio archive (containing hundreds of thousands of recordings). The ultimate goal of the project is to transcribe them and to allow public access to their content. In this paper we focus on methods and algorithms for unsupervised post-processing of automatically recognized recordings. The post-processing is adapted for the needs of the web presentation of the archive. Up to now ithas been used to process about 60,000 audio documents. We present the overall structure of the system as well as its core modules - speech recognition engine, speaker diarization module and final text processing. Special attention is paid to the punctuation issue. The punctuation accuracy is evaluated and compared to human use. In the final part of the paper we propose further improvements and ideas for the future research.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/DF11P01OVV013" target="_blank" >DF11P01OVV013: Zpřístupnění archivu Českého rozhlasu pro sofistikované vyhledávání</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of Telecommunications and Signal Processing (TSP) conference

ISBN

978-1-4673-1118-2

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

441-445

Název nakladatele

IEEE

Místo vydání

Praha, ČR

Místo konání akce

Praha, ČR

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000308143100085