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Hybrid NN/HMM acoustic modeling techniques for distributed speech recognition
Jan Stadermann,
Gerhard Rigoll
Chair of Human-Machine Communication
Technical University of Munich
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
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Dive into the research topics of 'Hybrid NN/HMM acoustic modeling techniques for distributed speech recognition'. Together they form a unique fingerprint.
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Keyphrases
Acoustic Modeling
100%
AURORA2
33%
Comparison with a Standard
33%
Continuous-time Systems
33%
Distributed Environment
33%
Distributed Speech Recognition
100%
Gaussian Model
33%
Hybrid Acoustic Model
33%
Hybrid HMM
100%
Hybrid Modeling
33%
Mobile Environment
33%
Modeling Techniques
100%
Phoneme
33%
PLP Features
33%
Posterior Approach
33%
RASTA-PLP
33%
Recognizer
33%
Speech Recognition Performance
33%
Split up
33%
Transmission Channels
33%
Word-based
33%
Engineering
Channel Transmission
100%
Continuous System
100%
Gaussian Model
100%
Recognizer
100%
Computer Science
Distributed Environment
25%
Gaussian Model
25%
Hybrid Modeling
25%
Mobile Environment
25%
Recognition Performance
25%
Recognizer
25%
Speech Recognition
100%
Transmission Channel
25%