AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline

TLDR

It is by far the largest corpus suitable for conducting speech‑recognition research and building Mandarin speech‑recognition systems. The corpus was recorded with detailed audio capturing devices and environments, accompanied by transcriptions, a lexicon, and a Kaldi recipe. AISHELL‑1, an open‑source Mandarin speech corpus, is released and experimental results indicate promising audio and transcription quality.

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.