D
Dong Yu
Researcher at Tencent
Publications - 389
Citations - 45733
Dong Yu is an academic researcher from Tencent. The author has contributed to research in topics: Artificial neural network & Word error rate. The author has an hindex of 72, co-authored 339 publications receiving 39098 citations. Previous affiliations of Dong Yu include Peking University & Microsoft.
Papers
More filters
Patent
Deep belief network for large vocabulary continuous speech recognition
Li Deng,Dong Yu,George E. Dahl +2 more
TL;DR: In this article, a Deep Belief Network (DBN) consisting of many layers of nonlinear units with connecting weights between layers is trained by a pretraining step followed by a fine-tuning step.
Proceedings ArticleDOI
A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition
TL;DR: A non-linear feature-domain noise reduction algorithm based on the minimum mean square error (MMSE) criterion on Mel-frequency cepstra (MFCC) for environment-robust speech recognition that performs slightly better than the ETSI AFE on the well-matched and mid-mismatched settings.
The shared views of four research groups )
Geoffrey E. Hinton,Li Deng,Dong Yu,George E. Dahl,Abdelrahman Mohamed,Navdeep Jaitly,Andrew W. Senior,Vincent Vanhoucke,Patrick Nguyen,Tara N. Sainath,Brian Kingsbury +10 more
Journal ArticleDOI
Calibration of Confidence Measures in Speech Recognition
TL;DR: Three confidence calibration methods have been developed and the importance of key features exploited: the generic confidence-score, the application-dependent word distribution, and the rule coverage ratio are demonstrated.
Journal ArticleDOI
Introduction to the Special Section on Deep Learning for Speech and Language Processing
TL;DR: Current speech recognition systems, for example, typically use Gaussian mixture models (GMMs), to estimate the observation (or emission) probabilities of hidden Markov models (HMMs), and GMMs are generative models that have only one layer of latent variables.