Adapting to adverse acoustic environment in speech processing using playback training data
First Claim
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1. A method, comprising:
- playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data; and
generating an adapted speech model from an existing speech model with respect to the adverse acoustic environment based on the recorded playback data and the original training data.
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Abstract
An arrangement is provided for an automatic speech recognition mechanism to adapt to an adverse acoustic environment. Some of the original training data, collected from an original acoustic environment, is played back in an adverse acoustic environment. The playback data is recorded in the adverse acoustic environment to generate recorded playback data. An existing speech model is then adapted with respect to the adverse acoustic environment based on the recorded playback data and/or the original training data.
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Citations
27 Claims
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1. A method, comprising:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data; and
generating an adapted speech model from an existing speech model with respect to the adverse acoustic environment based on the recorded playback data and the original training data. - View Dependent Claims (2, 3, 4, 5)
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6. A method for deriving an adapted speech model in an adverse acoustic environment, comprising:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data; and
re-training an existing speech model using the recorded playback data to generate an adapted speech model which adapts the existing speech model, derived based on the original training data with respect to the first acoustic environment, to the adverse acoustic environment. - View Dependent Claims (7)
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8. A method for deriving an adapted speech model in an adverse acoustic environment, comprising:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data;
estimating the discrepancy between the original training data and the recorded playback data; and
adapting an existing speech model based on the discrepancy to generate an adapted speech model with respect to the adverse acoustic environment. - View Dependent Claims (9, 10)
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11. A system, comprising:
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an original training data set collected in a first acoustic environment for training at least one existing speech model;
a training data sampling and playback mechanism for selecting at least some of the original training data and for playing back the at least some of the original data in an adverse acoustic environment to generate playback data; and
an adverse acoustic environment adaptation mechanism for deriving at least one adapted speech model, adapting to the adverse acoustic environment, based on the playback data and the original training data. - View Dependent Claims (12, 13)
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14. A system for deriving an adapted speech model in an adverse acoustic environment, comprising:
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a training data sampling and playback mechanism for selecting at least some of original training data and for generating playback data in an adverse acoustic environment based on the selected original training data; and
an adverse acoustic environment adaptation mechanism comprising a speech model re-training mechanism for re-training an existing speech model using the playback data to derive an adapted speech model with respect to the adverse acoustic environment. - View Dependent Claims (15)
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16. A system for deriving an adapted speech model, comprising:
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a training data sampling and playback mechanism for selecting at least some of original training data and for generating playback data in an adverse acoustic environment based on the selected original training data; and
an adverse acoustic environment adaptation mechanism comprising a discrepancy based speech model adaptation mechanism for adapting an existing speech model, derived based on the original training data with respect to the first acoustic environment, to obtain an adapted speech model based on discrepancy between the original training data and the playback data. - View Dependent Claims (17)
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18. A machine-accessable medium encoded with data, the data, when accessed, causing:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data; and
generating an adapted speech model from an existing speech model with respect to the adverse acoustic environment based on the recorded playback data and the original training data. - View Dependent Claims (19, 20, 21, 22)
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23. A machine-accessable medium encoded with data for deriving an adapted speech model in an adverse acoustic environment, the data, when accessed, causing:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data; and
re-training an existing speech model using the recorded playback data to generate an adapted speech model which adapts the existing speech model, derived based on the original training data with respect to the first acoustic environment, to the adverse acoustic environment. - View Dependent Claims (24)
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25. A machine-accessable medium encoded with data for deriving an adapted speech model in an adverse acoustic environment, the data, when accessed, causing:
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playing back at least some of original training data, collected in a first acoustic environment, in an adverse acoustic environment to generate playback data;
recording the playback data in the adverse acoustic environment to generate recorded playback data;
estimating the discrepancy between the original training data and the recorded playback data; and
adapting an existing speech model based on the discrepancy to generate an adapted speech model with respect to the adverse acoustic environment. - View Dependent Claims (26, 27)
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Specification