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Method and device for training field adaptive acoustic model

An acoustic model and training method technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as performance degradation, large channel interference, and inability to use, and achieve the effect of good recognition performance

Active Publication Date: 2019-10-25
出门问问(苏州)信息科技有限公司
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AI Technical Summary

Problems solved by technology

However, in the telephone customer service scenario, due to the low sampling rate, large channel interference and insufficient training data, the overall recognition rate can only reach 50%-70% of 16K speech recognition
In addition, in the commercial application of telephone customer service, users often pay attention to the recognition rate of a specific field. When the training data of the recognition system does not match the application field, the performance will drop significantly, resulting in the general telephone customer service voice recognition system often being unable to perform in these areas. domain use

Method used

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  • Method and device for training field adaptive acoustic model
  • Method and device for training field adaptive acoustic model
  • Method and device for training field adaptive acoustic model

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Embodiment Construction

[0071] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0072] figure 1 is a block diagram of an example computing device 100 arranged to implement a method of training a domain-adaptive acoustic model according to the present disclosure. In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .

[0073] Depending on the d...

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Abstract

Embodiments of the invention provide a method and a device for training a field adaptive acoustic model, a readable storage medium and computing equipment. The method and the device are used for building the acoustic model with an excellent identification effect in a designated field. The method comprises the following steps: acquiring voice data of similar fields of a plurality of designated fields and text data corresponding to the voice data of the similar fields of the plurality of designated fields; training the acoustic model according to the voice data of the similar fields of the plurality of designated fields and the text data corresponding to the voice data of the plurality of designated fields to obtain a general acoustic model; acquiring voice data of the designated fields andtext data corresponding to the voice data of the designated fields; and training the general acoustic model according to the voice data of the designated fields and the text data corresponding to thevoice data of the designated fields to obtain the field adaptive acoustic model.

Description

technical field [0001] The present disclosure relates to the technical field of speech processing, and in particular to a training method, device, readable storage medium and computing equipment for a domain-adaptive acoustic model. Background technique [0002] Automatic speech recognition technology (Automatic Speech Recognition, ASR) has made great progress in the past few years, and in some scenarios, such as voice intelligent assistants, the performance of the most advanced recognition systems has approached human performance. However, in the telephone customer service scenario, due to the low sampling rate, large channel interference and insufficient training data, the overall recognition rate can only reach 50%-70% of the 16K speech recognition level. In addition, in the commercial application of telephone customer service, users often pay attention to the recognition rate of a specific field. When the training data of the recognition system does not match the applica...

Claims

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Application Information

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IPC IPC(8): G10L15/06G10L15/14G10L15/16
CPCG10L15/063G10L15/144G10L15/16
Inventor 钟利民
Owner 出门问问(苏州)信息科技有限公司
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