ARTIFICIAL INTELLIGENCE-BASED ACOUSTIC MODEL TRAINING METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM
First Claim
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1. An artificial intelligence-based acoustic model training method, wherein the method comprises:
- obtaining manually-annotated speech data;
training according to the manually-annotated speech data to obtain a first acoustic model;
obtaining unannotated speech data;
training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model.
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Abstract
The present disclosure provides an artificial intelligence-based acoustic model training method and apparatus, a device and a storage medium, wherein the method comprises: obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. The solution of the present disclosure can be applied to save manpower costs and improve the training efficiency.
53 Citations
21 Claims
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1. An artificial intelligence-based acoustic model training method, wherein the method comprises:
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obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer device, comprising a memory, a processor and a computer program which is stored on the memory and runs on the processor, wherein the processor, upon executing the program, implements the following operation:
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obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the following operation:
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obtaining manually-annotated speech data; training according to the manually-annotated speech data to obtain a first acoustic model; obtaining unannotated speech data; training according to the unannotated speech data and the first acoustic model to obtain a desired second acoustic model. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification