THE DESIGN OF THE NEWSPAPER-BASED JAPANESE LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION CORPUS

Katunobu Itou, Mikio Yamamoto, Kazuya Takeda, Toshiyuki Takezawa, Tatsuo Matsuoka, Tetsunori Kobayashi, Kiyohiro Shikano, Shuichi Itahashi

Research output: Contribution to conferencePaperpeer-review

60 Citations (Scopus)

Abstract

In this paper we present the first public Japanese speech corpus for large vocabulary continuous speech recognition (LVCSR) technology, which we have titled JNAS (Japanese Newspaper Article Sentences). We designed it to be comparable to the corpora used in the American and European LVCSR projects. The corpus contains speech recordings (60 hrs.) and their orthographic transcriptions for 306 speakers (153 males and 153 females) reading excerpts from the newspaper's articles and phonetically balanced (PB) sentences. This corpus contains utterances of about 45,000 sentences as a whole with each speaker reading about 150 sentences. JNAS is being distributed on 16 CD-ROMs.

Original languageEnglish
Publication statusPublished - 1998
Event5th International Conference on Spoken Language Processing, ICSLP 1998 - Sydney, Australia
Duration: 1998 Nov 301998 Dec 4

Conference

Conference5th International Conference on Spoken Language Processing, ICSLP 1998
Country/TerritoryAustralia
CitySydney
Period98/11/3098/12/4

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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