<--- Back to Details
First PageDocument Content
Computational linguistics / Markov models / Automatic identification and data capture / Computer accessibility / Speech recognition / Speech synthesis / Hidden Markov model / KullbackLeibler divergence
Date: 2015-09-29 11:06:25
Computational linguistics
Markov models
Automatic identification and data capture
Computer accessibility
Speech recognition
Speech synthesis
Hidden Markov model
KullbackLeibler divergence

Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U

Add to Reading List

Source URL: www.cstr.ed.ac.uk

Download Document from Source Website

File Size: 129,28 KB

Share Document on Facebook

Similar Documents

Study Group “Speech Recognition” WSType Ü2

Study Group “Speech Recognition” WSType Ü2

DocID: 1vo3m - View Document

Laboratory Course “Automatic Speech Recognition” WSType P4

Laboratory Course “Automatic Speech Recognition” WSType P4

DocID: 1vnFG - View Document

Laboratory Course for Main Studies “Automatic Speech Recognition” WSType Schedule / Room ¨ by arrangement /

Laboratory Course for Main Studies “Automatic Speech Recognition” WSType Schedule / Room ¨ by arrangement /

DocID: 1vjhy - View Document

Study Group “Speech Recognition” SS 2013 Type Schedule / Room ¨ U2

Study Group “Speech Recognition” SS 2013 Type Schedule / Room ¨ U2

DocID: 1vjcN - View Document

Study Group “Speech Recognition” SS 2016 Type Ü2

Study Group “Speech Recognition” SS 2016 Type Ü2

DocID: 1vfhA - View Document