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학술지 KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition
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저자
방정욱, 윤승, 김승희, 최무열, 이민규, 김여정, 김동현, 박준, 이영직, 김상훈
발행일
202010
출처
Applied Sciences, v.10 no.19, pp.1-17
ISSN
2076-3417
출판사
MDPI
DOI
https://dx.doi.org/10.3390/app10196936
협약과제
20ZS1100, 자율성장형 복합인공지능 원천기술 연구, 송화전
초록
This paper introduces a large-scale spontaneous speech corpus of Korean, named KsponSpeech. This corpus contains 969 h of general open-domain dialog utterances, spoken by about 2000 native Korean speakers in a clean environment. All data were constructed by recording the dialogue of two people freely conversing on a variety of topics and manually transcribing the utterances. The transcription provides a dual transcription consisting of orthography and pronunciation, and disfluency tags for spontaneity of speech, such as filler words, repeated words, and word fragments. This paper also presents the baseline performance of an end-to-end speech recognition model trained with KsponSpeech. In addition, we investigated the performance of standard end-to-end architectures and the number of sub-word units suitable for Korean. We investigated issues that should be considered in spontaneous speech recognition in Korean. KsponSpeech is publicly available on an open data hub site of the Korea government.
키워드
Automatic speech recognition, End-to-end, Spontaneous speech corpus
KSP 제안 키워드
Clean environment, End to End(E2E), End-to-End Speech Recognition, Open data, Recognition model, Speech corpus, automatic speech recognition(ASR), large-scale, open-domain dialog, spontaneous speech
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