Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Voiceprint recognition method based on dynamic time warping and voice activity detection

A technology of voice activity detection and dynamic time regulation, applied in voice analysis, instruments, etc., to facilitate transplantation and reuse, improve accuracy, and save manpower and material resources

Inactive Publication Date: 2018-07-27
ZHEJIANG UNIV
View PDF11 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problems and deficiencies in the traditional voiceprint recognition method, the present invention designs a new voiceprint recognition method to reduce the calculation amount of the pattern matching part algorithm, speed up the voiceprint recognition speed, and improve the voiceprint recognition method. Recognition accuracy, reduce the consumption of processor and memory resources in the process of voiceprint recognition, reduce the demand for voice samples in the process of building a voiceprint recognition model, and apply to portable devices and low-performance processors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Voiceprint recognition method based on dynamic time warping and voice activity detection
  • Voiceprint recognition method based on dynamic time warping and voice activity detection
  • Voiceprint recognition method based on dynamic time warping and voice activity detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to facilitate the understanding and implementation of this invention by those of ordinary skill in the art, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0026] The present invention is a voiceprint recognition method using Mel cepstrum coefficient feature extraction, dynamic time warping algorithm and voice activity detection method, and selects the voice feature extracted from Mel cepstrum coefficient as a component of the sequence of dynamic time warping algorithm, The method of storing the extracted similar voiceprint models, and finally performing voiceprint recognition and detecting trigger actions by means of dynamic time warping algorithm values.

[0027] The present invention uses a pre-prepro...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a voiceprint recognition method based on dynamic time warping and voice activity detection. The voiceprint recognition method comprises the following steps: firstly, recordingvoice via a voice activity detection method, and implementing cutting processing on the voice so as to filter off blank voice and abnormal voice; then, calculating a Mel-frequency cepstral coefficientof an obtained sample, and extracting characteristics of target voice; then, recording template voice, and calculating a difference degree via a dynamic time warping algorithm; and finally, recordingto-be-recognized voice via a voice recording method, extracting voice characteristics via a target voice characteristic extraction method, and comparing the target voice with the existing template voice one by one, so that a goal of voiceprint recognition is achieved. The voiceprint recognition method provided by the invention, in comparison with an existing voiceprint recognition method, can avoid the participation of excessive voice samples in the establishment of a voiceprint recognition model, and meanwhile, the voiceprint recognition method is friendly to low-performance processors and portable equipment; and the voiceprint recognition method can accelerate recognition speed, reduce resource occupation and achieve voiceprint offline recognition.

Description

technical field [0001] The invention belongs to the technical field of voiceprint recognition in machine learning and artificial intelligence, and relates to the field of dynamic time warping algorithm and voice activity detection method; in particular, it relates to a technology capable of quickly performing voiceprint recognition on a portable platform or a low-performance processor . Background technique [0002] Voiceprint recognition is a kind of biometric technology, also known as speaker recognition. Different tasks and applications will use different voiceprint recognition technologies. For example, identification technology may be required when narrowing the scope of criminal investigation, while confirmation technology is required for bank transactions. Voiceprint recognition is a technology that converts acoustic signals into electrical signals and then uses computers to identify them. [0003] Voiceprint recognition includes two key issues, one is feature extra...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G10L17/08G10L17/02G10L25/24G10L25/21G10L25/78
CPCG10L17/02G10L17/08G10L25/21G10L25/24G10L25/78G10L2025/783
Inventor 唐滢淇董树锋
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products