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Segment segmentation detection method and system, spoken language evaluation method and system

A voice segment and voice technology, applied in the field of spoken language evaluation methods and systems, and segment segmentation detection methods and systems, can solve problems such as large environmental noise, inability to satisfy users, and abnormal segment segmentation boundaries.

Active Publication Date: 2017-08-25
安徽知学科技有限公司
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AI Technical Summary

Problems solved by technology

[0010] In the actual oral evaluation process of the above-mentioned traditional oral evaluation method, the following situations are likely to occur: the user does not read aloud according to the order of the text, the user reads content that has nothing to do with the text, or the environment is noisy. When these situations occur, it will lead to The segment segmentation boundary obtained is likely to be abnormal (or incorrect), and the subsequent evaluation process is based on the abnormal segment segmentation boundary, which will make the final output evaluation result unreliable and reduce the evaluation performance. The effect and user experience cannot meet the needs of users

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  • Segment segmentation detection method and system, spoken language evaluation method and system
  • Segment segmentation detection method and system, spoken language evaluation method and system
  • Segment segmentation detection method and system, spoken language evaluation method and system

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Embodiment Construction

[0107] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and implementations.

[0108] Due to the traditional speech evaluation system, even for the incorrect segment segmentation results, follow-up evaluation will be directly carried out, resulting in unreliable evaluation results. To solve this problem, an embodiment of the present invention provides a method and system for segment segmentation detection, so as to effectively detect the correctness of segment segmentation results. Furthermore, another embodiment of the present invention also provides a spoken language evaluation method and system to ensure the accuracy of the evaluation results.

[0109] Such as figure 2 Shown, is the flow chart of the first embodiment of the segment segmentation detection method of the present inventio...

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Abstract

The invention discloses a segment segmentation detection method and system, the method comprising: obtaining the segment segmentation result obtained by segmenting the reading voice; performing voice recognition on the reading voice to obtain the recognition result; according to the The reading text corresponding to the reading voice calculates the recognition rate of the segmentation result and the recognition rate of the recognition result respectively; if the recognition rate of the segmentation result is higher than the recognition rate of the recognition result, then determine that the segmentation result is normal; otherwise It is determined that the segmentation result is abnormal. The invention also discloses a spoken language evaluation method and system. The present invention can effectively detect whether the segment segmentation result is abnormal, thereby ensuring the accuracy of the evaluation result.

Description

technical field [0001] The invention relates to the technical field of speech signal processing, in particular to a segment segmentation detection method and system, and a spoken language evaluation method and system. Background technique [0002] Spoken language evaluation can realize the evaluation of the speaker's speaking level, and guide the speaker to learn according to the evaluation results. The basic principle of evaluation comes from measuring the difference between standard pronunciation and actual pronunciation. Segment segmentation is a mainstream method in oral language evaluation technology. The specific process is: build a decoding network based on the reading text, and analyze the acoustic features of the speech based on The decoding network and the acoustic model are forced to align, and the result of segment segmentation is obtained by decoding. [0003] Such as figure 1 Shown is a flow chart of the traditional oral evaluation method, including the follo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/02G10L15/04G10L25/78
Inventor 宋铁赵乾潘颂声何春江
Owner 安徽知学科技有限公司
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