Hierarchical Neural Network Structures for Phoneme Recognition
In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are evaluated on the phoneme recognition task where a Hybrid Hidden Markov Model/Artificial Neural Network paradigm is used. The baseline hierarchical scheme consists o...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Σειρά: | Signals and Communication Technology,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Background in Speech Recognition
- Phoneme Recognition Task
- Hierarchical Approach and Downsampling Schemes
- Extending the Hierarchical Scheme: Inter and Intra Phonetic Information
- Theoretical framework for phoneme recognition analysis.