Check patentability & draft patents in minutes with Patsnap Eureka AI!

Tone feature extraction method based on short-time discrete harmonic transform

A discrete harmonic and feature extraction technology, applied in the field of signal processing, can solve the problem of mining the essential characteristics of timbre from the perspective of harmonic physical meaning without audio signal, and achieve the effect of less feature dimension, high efficiency and small amount of calculation

Inactive Publication Date: 2019-12-13
HARBIN INST OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, many methods do not dig out the essential characteristics of timbre from the perspective of the physical meaning of the harmonics of the audio signal to the timbre

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
  • Tone feature extraction method based on short-time discrete harmonic transform
  • Tone feature extraction method based on short-time discrete harmonic transform
  • Tone feature extraction method based on short-time discrete harmonic transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples.

[0047] Such as figure 1 As shown, a timbre feature extraction method based on short-time discrete harmonic transform includes the following steps:

[0048] Step 1. Preprocessing;

[0049] Said step 1 includes the following sub-steps:

[0050] Step 101 Audio silent segment detection: The audio silent segment has an influence on the estimation of pitch period and the extraction of harmonic features. Therefore, it is necessary to perform silent segment detection and remove the silent segment. First, the signal is divided into frames, and the short-term average energy of the divided signal is calculated, and a higher threshold β is given. 1 , then the start and end points of the audio should be located at the two intersection points x of the threshold a...

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 tone feature extraction method based on short-time discrete harmonic transform. According to the method, with the frequency domain transform method, a pitch period estimationvalue is extracted based on a three-level center clipping cross-correlation function method, harmonic structural information of audio signals is extracted based on the pitch period, harmonic structural information is further extracted, and tone harmonic spectrum features are constructed and are used for extracting the audio tone features. The method has the advantages that the deficiency for extracting the audio harmonic structural information in the prior art is overcome, meanwhile, the problems that the used relevant tone features are huge in number, the information is redundant, and the efficiency is low are solved, and the audio harmonic structural information extracting method with sparsity is obtained.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for extracting timbre features of audio signals. Background technique [0002] Timbre-related feature extraction is a key part of sound source recognition and has a significant impact on sound source recognition results. In recent years, with the development of signal processing technology, timbre-related feature extraction methods have been increasing, involving time domain, frequency domain and cepstrum domain. At present, when extracting timbre-related features, it is mainly to combine a large number of acoustic features in the time domain, frequency domain, and cepstrum domain. The large number of features not only increases the computational burden, but also causes information redundancy. The vibration of an object produces a set of harmonic sequences arranged in pitch order. The human ear analyzes and synthesizes the different harmonic sequences received...

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): G10L25/18
CPCG10L25/18
Inventor 李海峰孙聪珊杨婧马琳李洪伟陈婧薄洪健丰上熊文静
Owner HARBIN INST OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com