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

TL;DR

AISHELL-1 is a large open-source Mandarin speech corpus with detailed recording procedures, resources, and a baseline Kaldi recipe, facilitating Mandarin speech recognition research and system development.

Contribution

This paper introduces AISHELL-1, the largest open-source Mandarin speech corpus, with comprehensive resources and a baseline system for speech recognition research.

Findings

High-quality audio recordings and transcriptions

Suitable for Mandarin speech recognition research

Provides a Kaldi recipe for baseline experiments

Abstract

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.