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A training method and device for a speaker recognition model for short speech

A speaker recognition and speaker model technology, applied in the field of speaker recognition, can solve the problems of low speaker recognition accuracy and achieve good performance, high modeling accuracy, and fine modeling scale

Active Publication Date: 2021-04-09
北京灵伴未来科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a speaker model training method for short speech to solve the problem of low accuracy of speaker recognition for short speech in the prior art

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  • A training method and device for a speaker recognition model for short speech
  • A training method and device for a speaker recognition model for short speech
  • A training method and device for a speaker recognition model for short speech

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Embodiment Construction

[0063] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of the present invention, so the present invention is not limited by the specific implementations disclosed below.

[0064] Technical terms related to the present invention:

[0065] 1. "Text-dependent speaker recognition" and "Text-independent speaker recognition"

[0066] Speaker recognition is divided into two types: text-dependent and text-independent according to whether it is related to the text content of the recognized speech. Usually, a text-related task will create a text set, and the user will record training speech according to the specified text during the training phase to establish an accurate text-related speaker model, a...

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Abstract

The invention discloses a training method for a speaker recognition model for short speech, comprising: extracting acoustic features from the speech data of the training corpus; performing phoneme labeling on the speech data of the training corpus to obtain the phoneme labeling result; using the Acoustic features and the phoneme labeling result carry out phoneme-related GMM-UBM model training to obtain speaker-related and phoneme-related GMM models and UBM models; based on the phoneme-related GMM model and UBM model, for each phoneme generation The phoneme-related i-vector overall change matrix used to extract i-vector features; using the phoneme-related i-vector overall change matrix to extract phoneme-related i-vector parameters from each speaker data, and then through dimensionality reduction The speaker-related and phoneme-related i-vector features are obtained. As a speaker model, the present invention makes the model more accurate and improves the recognition accuracy by establishing a phoneme-related i-vector model for the speaker.

Description

technical field [0001] The invention relates to the field of speaker recognition, in particular to a training method for a speaker recognition model for short speech. The invention also relates to a device for speaker recognition for short speech using a speaker recognition model. Background technique [0002] As one of the main technologies in the field of speech processing, speaker recognition aims to confirm the identity of the speaker, and has broad application prospects in the fields of mobile interaction, identity verification, and audio monitoring. After decades of development, speaker recognition technology has been widely used. [0003] A speaker recognition system usually includes a speaker training stage and a speaker recognition stage. In the speaker training stage, the system first performs mute removal and noise reduction processing on several training voices provided to obtain as pure and effective voice segments as possible, and then extracts the correspond...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/02G10L15/06G10L17/02G10L17/04
CPCG10L15/02G10L15/063G10L17/02G10L17/04G10L2015/025G10L2015/0631
Inventor 庞在虎张志平朱风云
Owner 北京灵伴未来科技有限公司