Recent Progress of Mandrain Spontaneous Speech Recognition on Mandrain Conversation Dialogue Corpus

Deng, Yu-Chih; Wang, Yih-Ru; Chen, Sin‐Horng; Chiang, Chen‐Yu

doi:10.1109/o-cocosda46868.2019.9041223

Cited by 1 publication

(1 citation statement)

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“…This involves complex spontaneous speech phenomena, such as unwanted pauses, word fragments, elongated segments, filler words, self-corrections, and repeated words. Thus, spontaneous speech recognition is still challenging and worth investigating [9,10]. In this situation, the end-to-end approach provides one solution for dealing with various spontaneous speech phenomena without intermediate modules carefully designed by human knowledge [11,12].…”

Section: Introductionmentioning

confidence: 99%

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition

et al. 2020

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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.

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