Voice endpoint detection method employing nonlinear feature

A non-linear feature and endpoint detection technology, applied in speech analysis, instruments, etc., to achieve the effect of improving performance, reducing calculation amount, and improving recognition performance

Active Publication Date: 2016-08-17
JINLING INST OF TECH
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Some of these elements can be modeled by time-varying linear filters, but there are also some nonlinear dynamic features that are difficult to clearly describe with mathematical models, and based on chaos theory, it can be effectively analyzed and extracted. nonlinear characteristics

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
  • Voice endpoint detection method employing nonlinear feature
  • Voice endpoint detection method employing nonlinear feature
  • Voice endpoint detection method employing nonlinear feature

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0031] In dynamical systems, the Lyapunov exponent is an important characteristic that indicates the chaotic properties of the system. Consider two points in space that are infinitely close together, and each point will produce a trajectory in space, and these two trajectories can be regarded as a function of the time variable. If one of the trajectories is taken as a reference, the degree of separation between the two trajectories is also a function of time, with time-based ratios quantified as Lyapunov exponents. According to this idea, ...

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 voice endpoint detection method employing a nonlinear feature. The method comprises the following steps: performing preemphasis processing on audio signals; performing framing processing on the audio signals subjected to the preemphasis processing; performing amplitude segmentation on each frame of the audio signals, and calculating a Liapunov exponent of the frame of the audio signals; and comparing the Liapunov exponent of each frame of the audio signals with a set threshold, and determining endpoints of the audio signals. The method provided by the invention better aims at the essence of voice and also provides more accurate information for improving performance of a voice endpoint detection system while reducing the operation complexity. Through correct and effective detection of voice segments, the calculation amount can be reduced, the processing time is shortened, noise interference of effective voice segments can also be eliminated, and subsequent voice processing work and identification performance of the whole system can be greatly improved.

Description

technical field [0001] The invention discloses a speech endpoint detection method using nonlinear features, and relates to the technical field of audio processing. Background technique [0002] The rapid development of computer technology, network technology and communication technology has led us into the era of big data. The ways of obtaining information are constantly enriched and diversified, and the types and quantities of audio data are also increasing, such as: telephone recordings, news broadcasts, audio Interviews, meeting recordings, voicemails, and more. These audio files contain effective speech segments and also contain many redundant parts, which impose a heavy burden on storage and speech processing. Therefore, speech endpoint detection is particularly important. Its function is to find out the start point and end point of speech and separate effective sound segments. Speech endpoint detection, as a speech signal preprocessing technology, plays a very import...

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): G10L25/87
Inventor 王丹丹臧娴
Owner JINLING INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap