Voice tracking method capable of feeding back loud-reading progress of user in real time

A real-time feedback and user-based technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of not being able to track normally, not taking into account the user's reading habits and the complexity of the application environment, etc., and achieve strong anti-environmental noise interference ability, The effect of improving usability

Active Publication Date: 2013-04-10
HEFEI IFLYTEK TOYCLOUD TECH
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AI Technical Summary

Problems solved by technology

[0006] The technical problem of the present invention is to overcome the shortcomings of the prior art that do not consider the user's reading habit and the complexity of the application environment, and provide a voice tracking method that can give real-time feedback on the user's reading pro

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  • Voice tracking method capable of feeding back loud-reading progress of user in real time
  • Voice tracking method capable of feeding back loud-reading progress of user in real time
  • Voice tracking method capable of feeding back loud-reading progress of user in real time

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Example Embodiment

[0039] Such as figure 2 As shown, the present invention uses a voice recognition decoder combined with a flexible tracking and decoding network to process each piece of voice data in real time, and feedback the user's reading progress in real time. The specific implementation process is as follows:

[0040] (1) Text input and processing

[0041] The input text is the user's predetermined reading content, and it is also one of the basis for constructing a decoding network. This step mainly completes two tasks: first, the encoding format of the text needs to be uniformly converted, such as uniformly converted to UTF8 format. The advantage of this is that only one set of code for parsing the text needs to be implemented; secondly, according to the corresponding model unit in the acoustic model Granularity (such as words, syllables, phonemes) for analysis (generally it is better to use phonemes as modeling units, and the following descriptions are based on phonemes), and generate a tr...

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Abstract

The invention provides a voice following method capable of feeding back loud-reading progress of a user in real time. The voice following method capable of feeding back the loud-reading progress of the user in real time includes the following steps: (1) inputting text to be tracked; (2) setting up tracking decoding networks according to the text and transmitting the tracking decoding networks and an acoustic model to a decoder; (3) collecting acoustic feature sequences in real time and transmitting the acoustic feature sequences to the decoder in real time; (4) judging the loud-reading progress of the user in real time by the decoder, and meanwhile detecting whether the user reads contents irrelevant to the text or not loudly by the decoder or not; (5) displaying the tracking progress in real time. The voice following method capable of feeding back the loud-reading progress of the user in real time solves the problem that normal tracking is not achieved because the user does not read in order abnormally, improves ability of anti-interference of environmental noise of the system, and ensures that the function of voice loud-reading tracking really achieves practical levels.

Description

technical field [0001] The invention relates to a continuous voice recognition and tracking method. The invention can realize the real-time acquisition of the text content read by the user when the user reads the fixed text, so as to realize the function of automatically tracking the text read by the user. Background technique [0002] Traditional spoken language evaluation and learning all depend on people. With the development and maturity of speech recognition technology, intelligent voice evaluation technology was born, and machines gradually replaced humans for oral evaluation and learning. The knowledge fields involved in intelligent speech evaluation technology include speech technology, natural language understanding, artificial intelligence, data mining, machine learning and other multidisciplinary knowledge. Through this technology, the oral level of the speaker can be evaluated, and the speaker can be guided according to the evaluation results. to study. For exa...

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Application Information

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IPC IPC(8): G10L15/30
Inventor 潘颂声赵乾吴玲何春江王兵朱群
Owner HEFEI IFLYTEK TOYCLOUD TECH
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