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Method and device for voice segmentation

A speech and speech segment technology, applied in speech analysis, speech recognition, instruments, etc., can solve the problems of low precision and poor segmentation effect, and achieve the effect of improving precision and good effect.

Active Publication Date: 2018-03-06
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

The traditional speech segmentation technology is based on the global background model and the Gaussian mixture model. Due to technical limitations, the segmentation accuracy of this speech segmentation method is not high, especially for the dialogues that frequently alternate and overlap. Difference

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  • Method and device for voice segmentation
  • Method and device for voice segmentation

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Embodiment Construction

[0045] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0046] Such as figure 1 as shown, figure 1 It is a schematic flow chart of an embodiment of the method for voice segmentation of the present invention, the method for voice segmentation includes the following steps:

[0047] Step S1, when the automatic answering system receives the mixed voice sent by the terminal, it divides the mixed voice into multiple short voice segments, and marks each short voice segment with a corresponding speaker identification;

[0048] This embodiment can be applied to an automatic answering system of a call center, for example, an automatic answering system of an insurance call center, an automatic answering system of various customer service call centers, and the like. The automatic ...

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Abstract

Disclosed are a speech segmentation method and device. The speech segmentation method comprises: when a mixed speech sent by a terminal is received, segmenting the mixed speech into a plurality of phrase segments, and labelling each phrase segment with a corresponding speaker identifier (S1); and using a recurrent neural network to build a voiceprint model for the phrase segment corresponding to each speaker identifier, and adjusting a corresponding segmentation boundary in the mixed speech based on the voiceprint model so as to segment out an effective speech segment corresponding to each speaker identifier (S2). The method can effectively improve the precision of speech segmentation and has a better speech segmentation effect especially on frequently alternate conversations and overlapping speeches.

Description

technical field [0001] The invention relates to the technical field of speech processing, in particular to a method and device for speech segmentation. Background technique [0002] At present, many voices received by the call center are mixed with the voices of multiple people. At this time, the voice needs to be segmented (speaker diarization) before further voice analysis can be performed on the target voice. Speech segmentation refers to: in the field of speech processing, when the voices of multiple speakers are combined and recorded in one channel, the voices of each speaker in the signal are extracted separately. The traditional speech segmentation technology is based on the global background model and the Gaussian mixture model. Due to technical limitations, the segmentation accuracy of this speech segmentation method is not high, especially for the dialogues that frequently alternate and overlap. Difference. Contents of the invention [0003] The object of the p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/04
CPCG10L15/04
Inventor 王健宗郭卉肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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