@inproceedings{yu2012conversational,
author = {Yu, Dong and Seide, Frank and Li, Gang},
title = {Conversational Speech Transcription Using Context-Dependent Deep Neural Networks},
booktitle = {ICML 2012},
year = {2012},
month = {June},
abstract = {Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, combine the classic artificial-neural-network HMMs with traditional context-dependent acoustic modeling and deep-belief-network pre-training. CD-DNN-HMMs greatly outperform conventional CD-GMM (Gaussian mixture model) HMMs: The word error rate is reduced by up to one third on the difficult benchmarking task of speaker-independent single-pass transcription of telephone conversations.},
url = {http://approjects.co.za/?big=en-us/research/publication/conversational-speech-transcription-using-context-dependent-deep-neural-networks-2/},
edition = {ICML 2012},
}