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

Sound source positioning method and device, medium and equipment

A sound source localization and setting value technology, applied in positioning, measuring devices, neural learning methods, etc., can solve problems such as low accuracy and difficulty in ensuring real-time performance, so as to improve accuracy, reduce algorithm complexity, and ensure real-time performance Effect

Inactive Publication Date: 2020-05-05
SOUNDAI TECH CO LTD
View PDF15 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a sound source localization method, device, medium and equipment, which are used to solve the problem that the existing sound source localization method has low accuracy and is difficult to ensure real-time performance

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
  • Sound source positioning method and device, medium and equipment
  • Sound source positioning method and device, medium and equipment
  • Sound source positioning method and device, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] Embodiment 1 of the present invention provides a sound source localization method, the steps of the method can be as follows figure 1 shown, including:

[0043] Step 101, collecting audio time domain signals.

[0044] In this step, the microphone array may be used to collect an audio time-domain signal (such as a speech time-domain signal) of a set duration. In a possible implementation manner, using a microphone array to collect audio time-domain signals may be understood as using a microphone array to collect far-field audio time-domain signals under different signal-to-noise ratios.

[0045] Step 102, perform time domain frequency domain conversion.

[0046] In this step, the collected audio time-domain signal can be converted into an audio frequency-domain signal.

[0047] Considering that when the short-time Fourier transform is used for time-frequency domain conversion, the frequency scale is linear, the conversion complexity is low, the calculation is simple, ...

Embodiment 2

[0063] Embodiment 2 of the present invention provides a sound source localization method, and the steps of the method can be as follows figure 2 shown, including:

[0064] Step 201, collect audio time domain signals.

[0065] In this step, the microphone array may be used to collect far-field audio time-domain signals under different signal-to-noise ratios.

[0066] Step 202. Determine a set of audio time-domain signals for each microphone.

[0067] In this step, a set of audio time-domain signals may be determined for each microphone in the microphone array.

[0068] In this embodiment, assuming that the microphone array includes M microphones, the audio time domain signal collected in step 201 can be collected by each microphone according to the set sampling frequency (such as 16000 sampling points per second). The audio time-domain signals are sampled separately to obtain M channels of audio time-domain signals.

[0069] Step 203, converting into an audio frequency dom...

Embodiment 3

[0094] Embodiment 3 of the present invention provides a sound source localization device, the structure of which can be as follows Figure 4 shown, including:

[0095] The acquisition module 11 is used to utilize the microphone array to collect the audio time-domain signal of setting duration; The conversion module 12 is used to convert the collected audio time-domain signal into an audio frequency-domain signal; The screening module 13 is used to utilize the trained neural network model , determining a frequency point with a signal-to-noise ratio greater than a set value in the audio frequency domain signal; the positioning module 14 is used to perform sound source location using the frequency point with a signal-to-noise ratio greater than a set value;

[0096] Wherein, the neural network model utilized in the screening module 13 is obtained in the following manner:

[0097] For each audio frequency domain signal in the training sample set, perform the following operations ...

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 relates to a sound source positioning method and device, a medium and equipment. According to the scheme provided by the embodiment, when sound source positioning is carried out, the microphone array can be used for collecting audio time domain signals, after the audio time domain signals are converted into audio frequency domain signals, the trained neural network model is used forscreening frequency points, the frequency points with the signal-to-noise ratio larger than a set value are determined, and then the frequency points with the signal-to-noise ratio larger than the setvalue can be used for carrying out sound source positioning. Compared with the scheme that the frequency points are not screened and all the frequency points are used for sound source positioning inthe prior art, according to the scheme that all frequency points are used for sound source positioning, the frequency points with high signal-to-noise ratio is used for sound source positioning, so that the sound source positioning precision can be effectively improved. Meanwhile, a small number of frequency points are used for sound source positioning, the algorithm complexity of sound source positioning can be effectively reduced, and the real-time performance of sound source positioning is ensured.

Description

technical field [0001] The present invention relates to the technical field of sound source localization, in particular to a sound source localization method, device, medium and equipment. Background technique [0002] Sound source localization technology has extensive and extremely important applications in many fields of life today. For example, in video conferencing systems, speech recognition technology and hearing aids, etc. [0003] With the advent of "Internet +" and the era of big data, the voice interaction experience of intelligent terminals has attracted wide attention. put forward higher requirements. [0004] However, the accuracy and real-time performance of current sound source localization methods need to be improved. Contents of the invention [0005] Embodiments of the present invention provide a sound source localization method, device, medium, and equipment, which are used to solve the problems that the existing sound source localization methods have...

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): G01S5/18G06N3/04G06N3/08
CPCG01S5/18G06N3/049G06N3/08G06N3/045
Inventor 艾文冯大航常乐
Owner SOUNDAI TECH CO LTD
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