Adaptation of symbols
View Patent ↗A speaker adaptation system and method for speech models of symbols displays a multi-word symbol to be spoken as a symbol. The supervised adaptation system and method has unsupervised adaptation for multi-word symbols, limited to the set of words associated with each multi-word symbol.
1. A speaker adaptation system comprising:
a storage unit which stores at least reference speech models of symbols; and
a network generator in communication with said storage unit which generates a network of models for a speaker adaptation session corresponding to a series of symbols presentable to a user during said session, said network of models comprising: multiple models for at least one multi-word symbol and models from more than one language; and
a model adapter which adapts at least a portion of said reference speech models from at least a portion of speech from said user.
2. A system according to claim 1 and also comprising a second model adapter which adapts models not adapted by said first model adapter using at least a portion of otherwise available models.
3. A speaker adaptation system comprising:
a symbol string generator which generates a series of symbols presentable to a user during a speaker adaptation session, where a multi-word symbol is presented as a symbol; and
an adaptation network generator which generates a network of models corresponding to said series of symbols, said network of models comprising models from more than one language.
4. A system according to claim 3 and also comprising a recognizer which matches a speech signal of a user saying said series of symbols with a portion of models in said network and a model adapter which adapts at least said portion of models using at least a portion of said speech signal.
5. A system according to claim 4 and also comprising a second model adapter which adapts models not adapted by said first model adapter using at least a portion of otherwise available models.
6. A speaker adaptation system comprising:
means to display symbols to a user during a speaker adaptation session, wherein a multi-word symbol to be spoken is displayable as a symbol; and
an adaptation network generator which generates a network of models corresponding to a series of symbols to be said, said network of models comprising models from more than one language.
7. A system according to claim 6 and also comprising a recognizer which matches a speech signal of a user saying said series of symbols with a portion of models in said network and a model adapter which adapts at least said portion of models using at least a portion of said speech signal.
8. A system according to claim 7 and also comprising a second model adapter which adapts models not adapted by said first model adapter using at least a portion of otherwise available models.
9. A speaker adaptation system for speech models of a set of symbols presentable to a user during a speaker adaptation session, the system comprising:
an unsupervised adaptation functionality for multi-word symbols of said set of symbols, limited to a set of words associated with each multi-word symbol; wherein said set of words includes words from more than one language;
a supervised adaptation functionality for single word symbols of said set of symbols; and
a model adapter which adapts at least a portion of said speech models from at least a portion of speech from said user.
10. A system according to claim 9 and comprising a symbol string generator which generates a series of symbols to be said, where a multi-word symbol is presented as a symbol.
11. A system according to claim 9 and comprising an adaptation network generator which generates a network of models corresponding to a series of symbols to be said, said network of models comprising multiple models for at least one multi-word symbol.
12. A system according to claim 9 and also comprising a model adapter which adapts models not adapted by said functionalities using at least a portion of otherwise available models.
13. A computer-implemented method in which a computer system initiates execution of software instructions stored in memory for speaker adaptation, the computer-implemented method comprising:
generating a network of reference speech models corresponding to a series of symbols presentable to a user during a speaker adaptation session, said network of models comprising: multiple models for at least one multi-word symbol and models from more than one language;
storing, in a storage unit, said network of reference speech models corresponding to said series of symbols; and
adapting at least a portion of said reference speech models from at least a portion of speech from said user.
14. A computer-implemented method according to claim 13 and also comprising adapting models not adapted in said first step of adapting using at least a portion of otherwise available models.
15. A computer-implemented method in which a computer system initiates execution of software instructions stored in memory for speaker adaptation, the computer-implemented method comprising:
generating a series of symbols to be presentable to a user during a speaker adaptation session, where a multi-word symbol is presented as a symbol;
generating a network of models corresponding to said series of symbols, said network of models comprising models from more than one language; and
storing, in a storage unit, said network of models corresponding to said series of symbols.
16. A computer-implemented method according to claim 15 and also comprising matching a speech signal of a user saying said series of symbols with a portion of models in said network and adapting at least said portion of models using at least a portion of said speech signal.
17. A computer-implemented method according to claim 16 and also comprising adapting models not adapted in said first step of adapting using at least a portion of otherwise available models.