CAJ | 학술논문

针对低信噪比情况下频谱方差法对语音信号进行端点检测时准确率降低的问题，提出了一种结合频谱方差和谱减法的语音端点检测新算法。算法采用改进的谱减法对语音信号进行动态降噪处理，并依据得到的降噪后信号的频谱方差设置双门限值进行端点检测。仿真实验表明，该方法具有抗噪性好、自适应性强等优点，在低信噪比情况下检测的准确率与普通的频谱方差法相比有很大的提高。
침대저신조비정황하빈보방차법대어음신호진행단점검측시준학솔강저적문제，제출료일충결합빈보방차화보감법적어음단점검측신산법。산법채용개진적보감법대어음신호진행동태강조처리，병의거득도적강조후신호적빈보방차설치쌍문한치진행단점검측。방진실험표명，해방법구유항조성호、자괄응성강등우점，재저신조비정황하검측적준학솔여보통적빈보방차법상비유흔대적제고。
In order to improve correctness of endpoint detection method based on spectrum variance in the case of low Signal Noise Rate(SNR), this paper proposes a new speech endpoint detection algorithm based on combination spectrum variance with spectral subtraction. It reduces speech signal noise dynamically by using modified spectral subtraction and calculates its variance to set double-threshold in endpoint detection. Simulation results indicate that the proposed algo-rithm has advantages of high noise-robust and adaptive performance. Furthermore, it has better detection capability than spectrum variance method in the case of low SNR.