一種新的語音和噪聲活動檢測算法及其在手機雙麥克風(fēng)消噪系統(tǒng)中的應(yīng)用

章雒霏; 張銘; 李晨

doi:10.11999/JEIT151302

一種新的語音和噪聲活動檢測算法及其在手機雙麥克風(fēng)消噪系統(tǒng)中的應(yīng)用

doi: 10.11999/JEIT151302

基金項目:

江蘇省自然科學(xué)基金，江蘇省聲頻技術(shù)工程重點實驗室基金項目(BE2014139)

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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-11-23
- 修回日期: 2016-04-12
- 刊出日期: 2016-08-19

A New Voice and Noise Activity Detection Algorithm and Its Applicationto Dual Microphone Noise Suppression System for Handset

Funds:

Program of Natural Science Research of Jiangsu Higher Education Institutions of China, Program of Science and Technology of Jiangsu (BE2014139)

摘要

摘要: 針對現(xiàn)有雙通道語音活動檢測(Voice Activity Detection, VAD)算法依賴于固定閾值難以在多種噪聲環(huán)境下準確地檢測語音和噪聲，應(yīng)用于手機消噪系統(tǒng)會造成語音失真或噪聲消除不好等問題，該文提出一種基于神經(jīng)網(wǎng)絡(luò)的VAD算法，該算法以分頻帶能量差和歸一化互通道相關(guān)為特征，采用神經(jīng)網(wǎng)絡(luò)對語音和噪聲進行分類。在此基礎(chǔ)上，將神經(jīng)網(wǎng)絡(luò)VAD與基于互通道信號功率比值的VAD相結(jié)合，提出一種新的適用于手機消噪系統(tǒng)的語音和噪聲活動檢測算法分別對語音和噪聲進行檢測，并以此進行噪聲抑制處理，減少了消噪系統(tǒng)因VAD誤判而造成的性能下降。實驗結(jié)果表明，該處理方法在抑制背景噪聲和減少語音失真等方面優(yōu)于現(xiàn)有的消噪算法，對于方向性語音干擾也有很好的抑制效果。
- 語音活動檢測 /
- 語音增強 /
- 神經(jīng)網(wǎng)絡(luò)
Abstract: Existing dual microphone Voice Activity Detection (VAD) algorithms use normally a fixed threshold. The fixed threshold can not provide an accurate VAD under various noise environments. In such case, it causes voice quality degradation, particularly in handset applications. This paper proposes a new VAD algorithm based on Neural Network (NN). Both sub-band power level difference and inter-microphone cross correlation are used as features. Then the NN based VAD is combined with the method of inter-microphone signal power ratio to get a new voice and noise activity detection algorithm. Furthermore, the algorithm is used into noise suppression in handset to avoid performance degradation caused by VAD misjudgment. Experimental results show that the proposed method provides better noise suppression performance and lower speech distortion compared to the existing method.
- Voice Activity Detection (VAD) /
- Speech enhancement /
- Neural Network (NN)

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參考文獻(17)

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