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Speech recognition
Theory and C++ implementation
Lucio Prina Ricotti, Claudio Becchetti
Résumé
Summary of contents
- Introduction to ASR problems
- introduction to C++
- why choose C++?
- foundation classes - how to use them
- ASR technical details
- other ASR methods
- foundation classes programmers guide
- speech databases - how to interface with them
- speech databases
- what is a speech database?
- choosing the phoneme typology
- commercial database description
- the phoneme alphabet
- quantization and sampling
- I/O C++ interface to speech databases
- inside the database
- TIMIT characteristics
- how to build a customized database
- database interface programmers guide
- extracting features
- feature extraction problems
- software description routine
- technical reference of feature extraction
- software routine timing
- the observation engine
- how the ASR "Eye" works
- initialization of observation parameters
- observation software
- inside the observation engine
- initialization of parameters
- inside the implemented observation
- the statistic low level engine
- the HMM model
- HMM training
- the HMM C++ class
- the HMM in literature
- the HMM C++ classes - technical description
- high level grammars (statistic high level engine)
- grammars overview
- C++ calls for grammar
- technical description of grammars
- technical implementation of grammars
- automatic continuous recognition
- automatic continuous recognition overview, modified viterbi C++ description
- technical description of recognition methods
- general system tests and applications
- modified viterbi implementation
- system enhancements and customizations
- options adaptation
- description of software for options
- changing algorithms for customization
- implementation of new algorithms
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Wiley |
Auteur(s) | Lucio Prina Ricotti, Claudio Becchetti |
Parution | 26/03/1999 |
Nb. de pages | 428 |
EAN13 | 9780471977308 |
ISBN13 | 978-0-471-97730-8 |
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