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The Development of LOTUS-TRD: A Thai Regional Dialect Speech Corpus

Although, Thai dialect speech corpus for Automatic Speech Recognition (ASR) is publicly available [1], to accelerate the efficiency of ASR model is still need more speech hours of Thai dialect data in various domains. We present the 180 hours of the LOTUS-TRD comprised the four Thai regional dialect...

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Main Authors:	Thatphithakkul, Sumonmas, Thangthai, Kwanchiva, Chunwijitra, Vataya
Format:	Conference Proceeding
Language:	English
Subjects:	Automatic speech recognition Data models dialect ASR Dictionaries Error analysis Licenses low resource language Recording speech corpus speech recognition Thai dialect Translation
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creator	Thatphithakkul, Sumonmas Thangthai, Kwanchiva Chunwijitra, Vataya
description	Although, Thai dialect speech corpus for Automatic Speech Recognition (ASR) is publicly available [1], to accelerate the efficiency of ASR model is still need more speech hours of Thai dialect data in various domains. We present the 180 hours of the LOTUS-TRD comprised the four Thai regional dialects: Northern Thai (NT), Central Thai (CT), Northeastern Thai or Isan (NET) and Southern Thai (ST) speech accompanied with the Thai text transcription of each dialect pronunciation style. The 560 native speakers from 4 dialects, 19-50 years old, were requested to read a set of 100 sentences from their dialect for recording which were randomly selected from 2,500 sentences per dialect. After that the correspondence between sentences and speaker's speech were verified and corrected to prepare for the pronunciation dictionary construction. The number of word tokens occurring in each dialect is quite resemblance. All of word tokens in the corpus are 1,587,691 tokens. The LOTUS- TRD is released under an open license based on CC-BY-SA 4.0. In addition, we provide a baseline result that demonstrates an average Word Error Rate (WER) of 17.10% on the test set.
doi_str_mv	10.1109/O-COCOSDA64382.2024.10800335
format	conference_proceeding
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ispartof	International Conference on Speech Database and Assessments, 2024, p.1-6
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language	eng
recordid	cdi_ieee_primary_10800335
source	IEEE Xplore All Conference Series
subjects	Automatic speech recognition Data models dialect ASR Dictionaries Error analysis Licenses low resource language Recording speech corpus speech recognition Thai dialect Translation
title	The Development of LOTUS-TRD: A Thai Regional Dialect Speech Corpus
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