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...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Serie: | Signals and Communication Technology
|
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hierarchical Neural Network Structures for Phoneme Recognition, Texte imprimé, 9783642344244 • Hierarchical Neural Network Structures for Phoneme Recognition, Texte imprimé, 9783642344268 • Hierarchical Neural Network Structures for Phoneme Recognition, Texte imprimé, 9783642432101 |
Sommario:
- 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.