Title :
Librispeech: An ASR corpus based on public domain audio books
Author :
Panayotov, Vassil ; Guoguo Chen ; Povey, Daniel ; Khudanpur, Sanjeev
Author_Institution :
Center for Language & Speech Process., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
This paper introduces a new corpus of read English speech, suitable for training and evaluating speech recognition systems. The LibriSpeech corpus is derived from audiobooks that are part of the LibriVox project, and contains 1000 hours of speech sampled at 16 kHz. We have made the corpus freely available for download, along with separately prepared language-model training data and pre-built language models. We show that acoustic models trained on LibriSpeech give lower error rate on the Wall Street Journal (WSJ) test sets than models trained on WSJ itself. We are also releasing Kaldi scripts that make it easy to build these systems.
Keywords :
natural language processing; speech recognition; ASR corpus; Kaldi scripts; LibriSpeech corpus; LibriVox project; WSJ; Wall Street Journal; acoustic models; evaluating speech recognition systems; frequency 16 kHz; language-model training data; pre-built language models; public domain audio books; read english speech; training speech recognition systems; Bioinformatics; Blogs; Electronic publishing; Genomics; Information services; Resource description framework; Corpus; LibriVox; Speech Recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178964
