Old Web
English
Sign In
Acemap
>
Paper
>
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models.
How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models.
2016
Suman V. Ravuri
Steven Wegmann
Keywords:
Conditional independence
Artificial intelligence
Artificial neural network
Pattern recognition
Computer science
Hidden Markov model
Speech recognition
Correction
Source
Cite
Save
Machine Reading By IdeaReader
23
References
4
Citations
NaN
KQI
[]