System and method of performing user-specific automatic speech recognition
First Claim
1. A method of performing speech processing, the method comprising:
- repeatedly determining parameters of a background model based on sampled information collected at a periodic time interval during a received voice request from a speaker;
determining parameters of a transducer model;
adapting a speech recognition model based on user-specific transformations corresponding to a determined identity of the speaker and on at least one of the background model and the transducer model;
receiving a data field selection by the speaker; and
applying, via a processor, one of a plurality of language models to the received voice request for speech recognition based on the data field, wherein the speech recognition uses a different language model for each data field selected by the speaker.
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Accused Products
Abstract
Speech recognition models are dynamically re-configurable based on user information, application information, background information such as background noise and transducer information such as transducer response characteristics to provide users with alternate input modes to keyboard text entry. Word recognition lattices are generated for each data field of an application and dynamically concatenated into a single word recognition lattice. A language model is applied to the concatenated word recognition lattice to determine the relationships between the word recognition lattices and repeated until the generated word recognition lattices are acceptable or differ from a predetermined value only by a threshold amount. These techniques of dynamic re-configurable speech recognition provide for deployment of speech recognition on small devices such as mobile phones and personal digital assistants as well environments such as office, home or vehicle while maintaining the accuracy of the speech recognition.
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Citations
22 Claims
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1. A method of performing speech processing, the method comprising:
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repeatedly determining parameters of a background model based on sampled information collected at a periodic time interval during a received voice request from a speaker; determining parameters of a transducer model; adapting a speech recognition model based on user-specific transformations corresponding to a determined identity of the speaker and on at least one of the background model and the transducer model; receiving a data field selection by the speaker; and applying, via a processor, one of a plurality of language models to the received voice request for speech recognition based on the data field, wherein the speech recognition uses a different language model for each data field selected by the speaker. - View Dependent Claims (2, 7, 8, 9)
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3. A method of performing speech processing, the method comprising:
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repeatedly determining parameters of a background model based on sampled information collected at a period time interval during a received voice request from a speaker; determining parameters of a transducer model; adapting a speech recognition model based on user-specific transformations corresponding to a determined identity of the speaker and on at least one of the background model and the transducer model; re-scoring, via a processor, automatic speech recognition using the speech recognition model by; generating word lattices representative of speech utterances in the received voice request; concatenating the word lattices into a single concatenated lattice; and applying at least one language model to the single concatenated lattice in order to determine word lattice inter-relationships; determining information in the received voice request based on the re-scored results of the speech recognition model; and adjusting the periodic time interval based, at least in part, on determined changes in the sampled information. - View Dependent Claims (4, 5, 6)
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10. A system for performing speech processing, the system comprising:
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a processor; a first module configured to control the processor to determine parameters of a background model repeatedly based on sampled information collected at a periodic time interval during a received voice request; a second module configured to control the processor to determine parameters of a transducer model; a third module configured to control the processor to adapt a speech recognition model based on user-specific transformations corresponding to a determined identity of the speaker and on at least one of the background model and the transducer model; a fourth module configured to control the processor to receive a data field selection by the speaker; and a fifth module configured to control the processor to apply one of a plurality of language models to the received voice request for speech recognition based on the data field, wherein the speech recognition uses a different language model for each data field selected by the speaker. - View Dependent Claims (11, 16, 17, 18)
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12. A system for performing speech processing, the system comprising:
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a processor; a first module configured to control the processor to determine parameters of a background model repeatedly based on sampled information collected at a periodic time interval during a received voice request; a second module configured to control the processor to determine parameters of a transducer model; a third module configured to control the processor to adapt a speech recognition model based on user-specific transformations corresponding to a determined identity of the speaker and on at least one of the background model and the transducer model; a fourth module configured to control the processor to re-score automatic speech recognition using the speech recognition model, the fourth module further configured to control the processor to; generate word lattices representative of speech utterances in the received voice request, concatenate the word lattices into a single concatenated lattice, and apply at least one language model to the single concatenated lattice in order to determine word lattice inter-relationships; a fifth module configured to control the processor to determine information in the received voice request based on the re-scored results of the speech recognition model; and a sixth module configured to control the processor to adjust the periodic time interval based, at least in part, on determined changes in the sampled information. - View Dependent Claims (13, 14, 15)
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19. A non-transitory computer readable medium storing a computer program having instructions for controlling a processor of a computer device to perform speech recognition, the steps comprising:
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determining an identity of the speaker based, at least in part, on a user identifier; determining parameters of a background model based on sampled information collected at a periodic time interval during a received voice request; determining parameters of a transducer model; and adapting a speech recognition model based on user-specific transformations corresponding to the determined identity of the speaker and on at least one of the background model and the transducer model; receiving a data field selection by the speaker; and applying one of a plurality of language models to the received voice request for speech recognition based on the data field, wherein the speech recognition uses a different language model for each data field selected by the speaker. - View Dependent Claims (20, 21, 22)
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Specification