Modeling method and device for voice recognition and equipment

A speech recognition model and speech recognition technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of high workload, maintenance cost, and complicated operation.

Active Publication Date: 2019-06-14
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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

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  • Modeling method and device for voice recognition and equipment
  • Modeling method and device for voice recognition and equipment
  • Modeling method and device for voice recognition and equipment

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Embodiment Construction

[0032] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0033] The speech recognition modeling method, device and equipment of the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0034] figure 1 A schematic flow chart of a speech recognition modeling method provided by an embodiment of the present invention, such as figure 1 As shown, the method includes:

[0035] Step 101, process the first speech data of Mandarin and the first speech data of P dialects respectively according to the pre-trained alignment model, obtain the ...

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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...

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Application Information

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IPC IPC(8): G10L15/06G10L15/22G10L15/26G10L25/24G10L25/30
Inventor 袁胜龙
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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