Have you seen the LibriSpeech ASR corpus[1]? It's large scale (1k hours) Creative Commons licensed English speech with the original book text. The data is deri

Have you seen the LibriSpeech ASR corpus[1]? It's large scale (1k hours) Creative Commons licensed English speech with the original book text. The data is derived from read audiobooks from the LibriVox project and has been carefully segmented and aligned. If you mean real world as in "with realistic noise", Baidu's DeepSpeech showed that adding noise to clean audio can make a resilient model. Indeed, having clean audio is better as you can add different types of noise to clean data to, in effect, create regularization. [1]: http://www.openslr.org/12/ http://www.openslr.org/12/