低信噪比環(huán)境下的語(yǔ)音端點(diǎn)檢測(cè)算法研究

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中圖分類(lèi)號(hào)：TP39；TN912.3 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：2096-4706（2025）11-0005-04

‘，1，2(1.，浙江溫州325003；2.溫州技師學(xué)院，)

Research on Speech Endpoint Detection Algorithm in Low Signal-to-Noise Ratio Environment

FUHongzi',CHENXiduan1,ZHANGLin2 (1.ZhejiangIndustryandTrade VocationalCollege,Wenzhou 325oo3,China; 2.Wenzhou TechnicianInstitute,Wenzhou 325ooo,China)

Abstract:To enhance the robustnessand accuracyof speech endpoint detection inlow Signal-to-Noise Ratio environment, a speech endpoint detectionalgorithmbasedonmult-windowspectralestimationand subbandquadratic spectral entropyis proposed.This algorithm integrates theadvantagesofsubbandquadratic spectralentropyand multi-windowspectral estimation. First,the quadraticpower spectrumof each frameofnoisyspeech signaliscomputed.Then,subbandanalysis is performed to derivethesubbandquadraticspectralentropy.Finalyontisbasisulti-windowspectralestimationofmulti-sine-windowis incorporated into thesubbandquadratic spectralentropytoformnew feature parameters fordetermining the startand end points ofspeechendpointdetection.ThroughMATLABsimulationverification,thisalgorithmhasbetternoiserobustessinlowSignalto-Noise Ratio environment compared to traditional speech endpoint detection algorithms.

Keywords:lowSignal-to-NoiseRatio;subbandquadraticspectralentropy;multi-windowspectral estimation;robustess

0 引言

語(yǔ)音端點(diǎn)檢測(cè)是語(yǔ)音識(shí)別系統(tǒng)前端處理的關(guān)鍵環(huán)節(jié)，其檢測(cè)結(jié)果的準(zhǔn)確性直接影響語(yǔ)音識(shí)別系統(tǒng)的性能和效率。（剩余9093字）