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In this paper, we introduce Libriheavy, a large-scale ASR corpus consistingof 50,000 hours of read English speech derived from LibriVox. To the best ofour knowledge, Libriheavy is the largest freely-available corpus of speech withsupervisions. Different from other open-sourced datasets that only providenormalized transcriptions, Libriheavy contains richer information such aspunctuation, casing and text context, which brings more flexibility for systembuilding. Specifically, we propose a general and efficient pipeline to locate,align and segment the audios in previously published Librilight to itscorresponding texts. The same as Librilight, Libriheavy also has three trainingsubsets small, medium, large of the sizes 500h, 5000h, 50000h respectively. Wealso extract the dev and test evaluation sets from the aligned audios andguarantee there is no overlapping speakers and books in training sets. Baselinesystems are built on the popular CTC-Attention and transducer models.Additionally, we open-source our dataset creatation pipeline which can also beused to other audio alignment tasks.

Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context