{"title":"An Improved Design for Speech Denoising","authors":"Zhou Kong, Yujun Liu, Kesheng Liu, Meilei Jiang","doi":"10.1109/ISCIT.2008.4700170","DOIUrl":null,"url":null,"abstract":"In high-noise environment, the background noises have greatly bad influence on the speech recognition and its transmission quality. The speech extraction and the noise reduction are long-term questions which the communication system has not solved effectively all the while. In this paper, we propose an improved system solution based on the combination of the bone-conduction sensor, a digital signal processor contained denoising algorithms and an active noise reduction part. At the beginning, the bone-conduction sensor is used to gather the voice. Next, the collected noisy speech signal is enhanced with spectral subtraction algorithm. Then the enhanced signal is detected with the improved short-time energy voice activity detection algorithm based on the Mel frequency. Finally we employ the ANR technology in the receiver. We have designed a prototype system based on the wireless platform. The results of tests show that it achieves better progress in anti-noise performance.","PeriodicalId":215340,"journal":{"name":"2008 International Symposium on Communications and Information Technologies","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Communications and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2008.4700170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In high-noise environment, the background noises have greatly bad influence on the speech recognition and its transmission quality. The speech extraction and the noise reduction are long-term questions which the communication system has not solved effectively all the while. In this paper, we propose an improved system solution based on the combination of the bone-conduction sensor, a digital signal processor contained denoising algorithms and an active noise reduction part. At the beginning, the bone-conduction sensor is used to gather the voice. Next, the collected noisy speech signal is enhanced with spectral subtraction algorithm. Then the enhanced signal is detected with the improved short-time energy voice activity detection algorithm based on the Mel frequency. Finally we employ the ANR technology in the receiver. We have designed a prototype system based on the wireless platform. The results of tests show that it achieves better progress in anti-noise performance.