Voice signal processing method and device, and storage medium

A voice signal processing and voice signal technology, applied in the computer field, can solve the problems of low voice recognition accuracy and difficult to determine the end point of voice, so as to improve accuracy and real-time performance, and overcome inaccurate detection

Pending Publication Date: 2020-10-13
ZTE CORP
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there is a problem that the voice end point detection is not easy to determine, which greatly reduces the accuracy of speech recognition.

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 signal processing method and device, and storage medium
  • Voice signal processing method and device, and storage medium
  • Voice signal processing method and device, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. In the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0021] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish s...

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 embodiment of the invention relates to a voice signal processing method and device and a storage medium. The method comprises the steps of obtaining audio characteristics of a to-be-detected frame; obtaining a mute point proportion in a preset length time window before the to-be-detected frame in a voice signal; determining a mute point proportion threshold value according to the audio characteristics; and judging whether the to-be-detected frame is a tail point frame or not according to the mute point proportion and the mute point proportion threshold. According to the embodiment of the invention, the mute point proportion in the preset length time window can be utilized, and the cepstrum characteristic of the current to-be-detected frame is used for dynamically adjusting the mute point proportion threshold, so that the problem of inaccurate voice tail point detection existing in a fixed mute point proportion threshold is solved, and the accuracy and real-time performance of tailpoint frame detection are effectively improved.

Description

technical field [0001] The embodiments of the present application relate to but are not limited to the field of computer technologies, and in particular, relate to a voice signal processing method, device, and storage medium. Background technique [0002] With the development of artificial intelligence, speech recognition has become the standard configuration of many devices. Speech recognition takes speech as the research object. Through speech signal processing and pattern recognition, machines can automatically recognize and understand human-dictated language. [0003] Speech end point detection plays a key role in speech recognition. Speech end point detection is to find the end point of speech in audio data, and its accuracy plays a vital role in the accuracy of speech recognition. [0004] At present, there is a problem that the voice end point detection is not easy to determine, which greatly reduces the accuracy of speech recognition. Contents of the invention [...

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
IPC IPC(8): G10L25/03G10L25/24G10L25/78G10L15/05G10L15/02
CPCG10L15/02G10L15/05G10L25/03G10L25/24G10L25/78G10L2025/783
Inventor 曹刚
Owner ZTE CORP
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