ASR-GigaSpeech-MulDomESC: A Multi-domain English Speech Corpus

GigaSpeech, prepared and released by SpeechColab, is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 33,000 hours of total audio suitable for semi-supervised and unsupervised training. Around 33,000 hours of transcribed audio is first collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles,and a variety of topics, such as arts, science, sports, etc. A new forced alignment and segmentation pipeline is proposed to create sentence segments suitable for speech recognition training, and to filter out segments with low-quality transcription.

由SpeechColab筹备并发布的GigaSpeech，是一款演进式多领域英语语音识别语料库，包含10000小时高质量带标注音频，适用于监督训练；其总音频时长达33000小时，可用于半监督与无监督训练。其中约33000小时的转录音频首先从有声书、播客及YouTube平台采集，涵盖朗读式与即兴式两种口语风格，涉及艺术、科学、体育等多元主题。该数据集配套提出了全新的强制对齐（forced alignment）与分段处理流水线，用于生成适配语音识别训练的句子级音频分段，并过滤掉转录质量不佳的分段。