arxiv:1709.05522

AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

Published on Sep 16, 2017

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Abstract

A Mandarin speech corpus called AISHELL-1, the largest for speech recognition research, includes detailed recording procedures, transcriptions, and a Kaldi recipe, demonstrating good audio and transcription quality.

AI-generated summary

An open-source Mandarin speech corpus called AISHELL-1 is released. It is by far the largest corpus which is suitable for conducting the speech recognition research and building speech recognition systems for Mandarin. The recording procedure, including audio capturing devices and environments are presented in details. The preparation of the related resources, including transcriptions and lexicon are described. The corpus is released with a Kaldi recipe. Experimental results implies that the quality of audio recordings and transcriptions are promising.

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