AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline
This provides a valuable resource for researchers and developers working on Mandarin speech recognition, though it is incremental as it builds on existing corpus creation efforts.
The authors tackled the lack of a large open-source Mandarin speech corpus by releasing AISHELL-1, which includes detailed recording procedures and resources, and experimental results show promising quality with a Kaldi recipe provided.
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.