Generating a task-adapted acoustic model from one or more different corpora
First Claim
1. A method of generating a task-dependent acoustic model from a task-independent (TI) training corpus that includes an acoustic representation of an utterance and a sequence of transcribed words corresponding to the acoustic representation, the method comprising:
- deriving a task relevance measure for each word in the TI training corpus, indicative of a relevance of the words to a task;
training a task-independent (TI) AM based on the TI training corpus, the TI AM including words from the TI training corpus and associated AM parameters;
generating a task-dependent (TD) acoustic model (AM) based on the TI AM trained from the TI training corpus and the task relevance measures for the words in the TI training corpus; and
storing the TD AM for use in performing the task.
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Abstract
The present invention generates a task-dependent acoustic model from a supervised task-independent corpus and further adapted it with an unsupervised task dependent corpus. The task-independent corpus includes task-independent training data which has an acoustic representation of words and a sequence of transcribed words corresponding to the acoustic representation. A relevance measure is defined for each of the words in the task-independent data. The relevance measure is used to weight the data associated with each of the words in the task-independent training data. The task-dependent acoustic model is then trained based on the weighted data for the words in the task-independent training data.
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Citations
11 Claims
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1. A method of generating a task-dependent acoustic model from a task-independent (TI) training corpus that includes an acoustic representation of an utterance and a sequence of transcribed words corresponding to the acoustic representation, the method comprising:
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deriving a task relevance measure for each word in the TI training corpus, indicative of a relevance of the words to a task; training a task-independent (TI) AM based on the TI training corpus, the TI AM including words from the TI training corpus and associated AM parameters; generating a task-dependent (TD) acoustic model (AM) based on the TI AM trained from the TI training corpus and the task relevance measures for the words in the TI training corpus; and storing the TD AM for use in performing the task. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for generating a task-dependent (TD) acoustic model (AM) from a task-independent (TI) training corpus, comprising:
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a task relevance generator receiving a task input indicative of words relevant to a task, the task comprising an application in which the TD AM is to be used, and the task relevance generator configured to generate a relevance measure for each word in the TI training corpus based on a relationship of each word in the TI training corpus to the task input; and an AM generator, coupled to the TI training corpus and the task relevance generator and configured to generate the TD AM based on the TI training corpus and the relevance measure. - View Dependent Claims (9)
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10. A method of generating a task-dependent acoustic model, comprising:
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receiving a task input indicative of phonetic units used in a task for which the task-dependent acoustic model is to be used; calculating a relevance, to the task for which the task-dependent acoustic model is to be used, of phonetic units in a task-independent training corpus of phonetic units, the phonetic units in the task-independent training corpus having no predefined relevance to the task for which the task-dependent acoustic model is to be used; generating the task-dependent acoustic model by applying the calculated relevance to the phonetic units in the task-independent training corpus; and storing the task-dependent acoustic model for use in performing the task. - View Dependent Claims (11)
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Specification