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Masking threshold estimation method and device, electronic equipment and storage medium

A technology of masking threshold and amplitude spectrum, applied in the field of signal processing, can solve problems such as tracking delay and large error, and achieve the effect of improving accuracy, improving recognition effect, and enhancing noise suppression result.

Pending Publication Date: 2021-12-28
北京融讯科创技术有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, in a non-stationary environment, many noise estimation algorithms have problems such as tracking delay and large error. Some researchers try to use the auditory characteristics of the human ear for speech enhancement in a non-stationary environment, but the estimation accuracy of the masking threshold Be the key to speech enhancement based on auditory properties

Method used

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  • Masking threshold estimation method and device, electronic equipment and storage medium
  • Masking threshold estimation method and device, electronic equipment and storage medium
  • Masking threshold estimation method and device, electronic equipment and storage medium

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Embodiment 1

[0034] figure 1 It is a flow chart of the method for estimating the masking threshold in Embodiment 1 of the present invention, and this embodiment is applicable to the situation of estimating the masking threshold in a noisy environment. The method can be executed by a masking threshold estimation device, which can be implemented in software and / or hardware, and can be configured in an electronic device, for example, the electronic device can be a device with communication and computing capabilities such as a background server. Such as figure 1 As shown, the method specifically includes:

[0035] S110. Acquire an amplitude spectrum of a noisy speech signal, and obtain an amplitude spectrum of a noise signal in the noisy speech signal; wherein the noisy speech signal includes a pure speech signal and a noise signal.

[0036] Wherein, the noisy speech signal is collected by at least one speech collection device in the speech collection site. The voice collection site may be ...

Embodiment 2

[0089] figure 2 It is a schematic structural diagram of the masking threshold estimating device in Embodiment 2 of the present invention. This embodiment is applicable to the situation of estimating the masking threshold in a noisy environment. Such as figure 2 As shown, the device includes:

[0090] The basic parameter acquisition module 210 is used to obtain the amplitude spectrum of the noisy speech signal, and obtain the amplitude spectrum of the noise signal in the noisy speech signal; wherein, the noisy speech signal includes a pure speech signal and a noise signal;

[0091] A characteristic parameter determination module 220, configured to determine the deviation of the speech characteristic spectrum of the noisy speech signal according to the amplitude spectrum of the noisy speech signal and the magnitude spectrum of the noise signal, and according to the amplitude spectrum of the noisy speech signal The magnitude spectrum determines the flatness of speech features...

Embodiment 3

[0121] image 3 It is a schematic structural diagram of an electronic device provided in Embodiment 3 of the present invention. Such as image 3 As shown, the electronic device 300 includes: one or more processors 320; a storage device 310 for storing one or more programs, when the one or more programs are executed by the one or more processors 320, The one or more processors 320 are made to implement the masking threshold estimation method provided in the embodiment of the present application, the method including:

[0122] Obtaining the amplitude spectrum of the noisy speech signal, and obtaining the amplitude spectrum of the noise signal in the noisy speech signal; wherein the noisy speech signal includes a pure speech signal and a noise signal;

[0123] determining the speech characteristic spectrum deviation of the noisy speech signal according to the magnitude spectrum of the noisy speech signal and the magnitude spectrum of the noise signal, and determining the speech...

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Abstract

The embodiment of the invention discloses a masking threshold estimation method and device, electronic equipment and a storage medium. The method comprises the following steps of: acquiring an amplitude spectrum of a noisy voice signal, and acquiring an amplitude spectrum of a noise signal in the noisy voice signal; determining the voice characteristic spectrum deviation of the noisy voice signal according to the amplitude spectrum of the noisy voice signal and the amplitude spectrum of the noise signal, and determining the voice characteristic flatness according to the amplitude spectrum of the noisy voice signal; determining pure tone coefficients of different frequency bands in the noisy voice signal according to the voice characteristic spectrum deviation and the voice characteristic flatness; determining an intermediate masking threshold according to the power spectrum of the noisy voice signal, the amplitude spectrum of the noisy voice signal and the pure tone coefficient; and determining a target masking threshold according to a comparison result of a predetermined absolute masking threshold and the intermediate masking threshold. According to the masking threshold estimation method and device, the electronic equipment and the storage medium of the embodiment of the invention, the accuracy of masking threshold estimation can be improved, the noise suppression result can be effectively enhanced, and the voice recognition effect is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of signal processing, and in particular, to a masking threshold estimation method, device, electronic equipment, and storage medium. Background technique [0002] With the rapid development of signal processing technology and speech recognition technology, speech enhancement technology in front-end preprocessing is becoming more and more important. Generally, when a device plays sound, noise will be heard along with speech, but the existence of noise will interfere with speech, and even affect the human ear's perception of speech. Usually, blind source separation technology will be used, and the most important technical means of blind source separation technology is to estimate the masking threshold. [0003] At present, in a non-stationary environment, many noise estimation algorithms have problems such as tracking delay and large error. Some researchers try to use the auditory ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L25/84G10L21/0272G10L21/0208G10L25/18G10L25/30
CPCG10L25/84G10L21/0272G10L21/0208G10L25/18G10L25/30G10L2021/02087G10L2025/783
Inventor 秦永红付贤会刘武钊
Owner 北京融讯科创技术有限公司
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