Modeling method, device and equipment for voice recognition

Abstract

The invention provides a modeling method, device and equipment for voice recognition, wherein the method includes determining N-type labels; training a neural network according to second voice data ofMandarin to generate a recognition model with N-type label output; inputting the second voice data of P-type dialects into the recognition model respectively for processing to acquire an output labelof the second voice data of each frame of the dialects; according to the output label and a real labeled label, determining the error rate of the N-type labels for each dialect in the P-type dialects, and newly generating M-type target labels according to labels with the error rate larger than a preset threshold value; and training an acoustic model according to third voice data of Mandarin and the third voice data of P-type dialects, wherein the output of the acoustic model is the N-type labels and the M-type target labels corresponding to each dialect in the P-type dialects. Therefore, themixed modeling of Mandarin and dialects is realized, while the accuracy of recognition is ensured, the same model can support both Mandarin and multiple dialects.

Description

technical field [0001] The invention relates to the technical field of speech recognition, in particular to a speech recognition modeling method, device and equipment. Background technique [0002] With the development of speech recognition technology, the performance of speech recognition has been practical. For example, various input methods on mobile phones have voice interaction functions. In practical applications, in addition to the speech recognition of the Mandarin scene, there is also the speech recognition of the dialect scene. At present, there are many voice interaction products that support dialect voice recognition, such as voice recognition options on mobile phone input methods, users can choose the corresponding dialect according to their needs, and some smart TVs and smart refrigerators customized for specific dialects. [0003] In related technologies, a Mandarin recognition model is usually used for speech recognition of Mandarin, and a corresponding dial...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, the Mandarin recognition model is usually used for speech recognition of Mandarin, and the corresponding dialect recognition model is used for speech recognition of dialects. However, when users switch languages, they need to select the corresponding speech recognition model back and forth, which is cumbersome to operate.

Moreover, with more and more dialects to be supported, the workload and maintenance costs are higher

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