Modeling method and device for voice recognition and equipment

Abstract

The invention provides a modeling method and device for voice recognition and equipment. The method comprises the steps of determining N-class labels; constructing a voice recognition model accordingto mandarin voice data training and the N-class labels; acquiring recognition text of voice data of P dialects according to the voice recognition model; determining an error rate according to the recognition text and labeled reference text, determining an acoustic characteristic difference value of each word according to a first error rate of each word and a second error rate of each word in the mandarin for each dialect, and generating new M-class target labels according to M-class labels corresponding to the words with the difference values greater than a preset threshold value; training anacoustic model according to the voice data of the mandarin and P dialects, wherein the output of the acoustic model is the N-class labels and the M-class target labels corresponding to each dialect. Therefore, mixed modeling of mandarin and the dialects is achieved, and one model can support both the mandarin and diversified dialects while the recognition accuracy is ensured.

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

Images