Noise Power Estimator Using Target to Jammer Ratio based Voice Activity Detection

• Main Authors: Chao, Hsueh-Wen, 趙學文
• Other Authors: Hu, Jwu-Sheng
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/82475908892221166127

碩士 === 國立交通大學 === 電控工程研究所 === 100 === This thesis proposes a noise power estimator for nonstationary noisy environment, and uses the result for speech purification. The noise power estimator combines target blocker and directivity compensator to estimate noise power. For updating the adaptive directivity compensator, we use target to jammer ratio (TJR) based voice activity detection (VAD). The VAD result is also combined with spectrum mask for speech purification. To verify the effectiveness of the proposed algorithm, we experimented in different noise environments, and verified it by signal-to-noise ratio (SNR) and perceptual evaluation of speech quality (PESQ). The experimental results show that the algorithm is able to reduce interference and also save the speech quality.