Active voice detection method and system based on noise scene recognition

A technology of speech detection and scene recognition, which is applied in speech analysis, character and pattern recognition, instruments, etc., can solve problems such as classifier burden, and achieve the effect of ensuring accuracy and effective detection ability

Pending Publication Date: 2020-11-13
北京中电慧声科技有限公司 +1
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  • Claims
  • Application Information

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Problems solved by technology

[0004] Supervised methods are mainly composed of feature extraction and classifier design. In terms of feature extraction, in order to effectively distinguish the acoustic characteristics of noise and speech signals, researchers currently extract high-dimensional features from different angles, such as energy features, process Zero rate features, Mel Frequency Cepstrum Coefficient (MFCC) features, fuzzy entropy features, autocorrelation coefficient features, wavelet coefficient features, etc., and comb...

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  • Active voice detection method and system based on noise scene recognition
  • Active voice detection method and system based on noise scene recognition
  • Active voice detection method and system based on noise scene recognition

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Embodiment 1

[0056] Such as figure 1 As shown, the present embodiment discloses a method for detecting active speech based on noise scene recognition, comprising the following steps:

[0057] S1: Extracting preferred features oriented to a noise classification task from the audio signal, and inputting the preferred feature values ​​into a noise type classifier to identify the noise type in the audio signal.

[0058] Such as figure 2 As shown, the noise type classifier is constructed by the following steps:

[0059] S1-1: building a noise signal library, the noise signal library includes multiple types of noise signals;

[0060] S1-2: Using a time-frequency domain signal processing method to extract feature values ​​of multiple audio features of each noise signal in the noise signal library;

[0061] For the task of distinguishing noise types, in order to obtain the distinguishability information between different noise signals from multiple angles, the present invention extracts zero-c...

Embodiment 2

[0149] The active voice detection method based on noise scene recognition in Embodiment 1 can be realized by the following active voice detection system.

[0150] Such as Figure 10 Shown, a kind of active voice detection system based on noise scene recognition, including:

[0151] The first feature extraction unit is used to extract the preferred features for noise classification tasks from the audio signal;

[0152] Noise classification identification unit, for identifying the noise type in the audio signal by the noise type classifier according to the preferred feature oriented to the noise classification task;

[0153] The model selection unit is used to determine the preferred features and classifiers suitable for audio signal-oriented speech and noise classification tasks according to the noise type;

[0154] The second feature extraction unit is used to extract the feature value of the preferred feature for speech and noise classification tasks from the audio signal; ...

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Abstract

The invention discloses an active voice detection method based on noise scene recognition, and the method comprises the steps: extracting an optimal feature facing a noise classification task from anaudio signal, inputting a feature value into a noise type classifier, so as to recognize a noise type in the audio signal, according to the noise type, determining a preferred feature and a classifiersuitable for the voice and noise classification task, extracting optimal features oriented to the voice and noise classification task from the audio signals, inputting the optimal features into a voice and noise classifier, and judging whether the voice signals exist in the audio signals or not. According to activity voice detection system based on noise scene recognition, before binary classification of noisy voice and noise signals is carried out, according to the method, the current noise type is detected and identified, the most distinctive feature combination is preferably selected for the specific noise type, model parameters can be designed for the specific noise type, and the effectiveness and stability of the performance of the whole detection process under different noise typesare ensured.

Description

technical field [0001] The invention relates to the technical field of voice data processing, in particular to a noise scene recognition-based active voice detection method and system. Background technique [0002] There are often pauses and intermittent phenomena in a segment of speech signal. These "silent" segments will be superimposed with environmental noise and do not contain effective speech information. This type of information occupies a large data transmission resource and interferes with the effect of speech signal processing. The goal of active voice detection (voice activity detection, VAD) technology is to detect real voice passages from the signal and remove these "silent" parts, thereby reducing the burden of subsequent voice signal processing. Therefore, active voice detection technology is widely used It is used in speech coding, speaker recognition, automatic speech recognition, abnormal sound detection and other systems. [0003] In view of the wide appl...

Claims

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Application Information

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IPC IPC(8): G10L25/03G10L25/51G06K9/62
CPCG10L25/03G10L25/51G06F18/2321G06F18/24323
Inventor 田野
Owner 北京中电慧声科技有限公司
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