Sound activity detecting method and detector thereof

Abstract

The invention discloses a sound activation detecting method and a sound activation detector, the core of which is: extracting the feature parameters of the current signal frame when the sound activation detection is needed; and determining the sound type of the current signal frame according to the feature parameters and the set parameter threshold. By the invention, the specific coding algorithm is not relied on when the used feature parameters in the classifying process are extracted, thus being convenient for maintenance and updating, and classifying the input signals into more sound types. When being used in the sound coding technical field, the invention can not only be used as new-opened variable rate sound frequency coding algorithm and standard rate selection foundation, but also provide foundation of rate selection for prior variable rate voice or sound frequency coding standard without VAD algorithm. The invention can be applicable to voice boosting, voice recognition, recognition of spoken person and other voice signal processing fields with strong commonality.

Description

technical field [0001] The invention relates to the communication field, in particular to the voice signal processing technology. Background technique [0002] In the field of speech signal processing, there is a technology for detecting voice activity. When it is applied in speech coding technology, it is called voice activity detection (Voice Activity Detection, VAD). When it is applied in speech recognition technology, it is usually It is called speech endpoint detection (Speech EndpointDetection), and when it is applied in speech enhancement technology, it is usually called speech gap detection (SpeechPause Detection). For different application scenarios, these technologies will have different emphases and produce different processing results. However, their essence is to detect whether there is voice during voice communication, and the accuracy of the detection result directly affects the quality of subsequent processing (such as voice coding, voice recognition and enh...

AI Technical Summary

Problems solved by technology

[0006] It can be seen from the prior art that the prior art detects the music signal on the basis of the VAD technology in the existing speech coding standard, so it is closely related to the encoding algorithm, that is, the coupling with the encoder itself is too large, and the independence , Versatility and maintainability are generally poor, and the cost of porting between codes is high

[0007] In addition, the existing VAD algorithms are all developed for speech signals, so they only divide the input audio signal into two types: noise and speech (non-noise). Corrections and additions

Therefore, as the application scenario of the codec algorithm gradually transitions from processing voice to processing multimedia voice (including multimedia music), the codec algorithm itself gradually expands from narrowband to broadband. Therefore, with the change of application scenarios, the existing VAD The simple output class of the algorithm is obviously not enough to describe a wide variety of audio signal characteristics

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