{"title":"Recognition experiments with the SpeechDat-Car Aurora Spanish database using 8 kHz- and 16 kHz-sampled signals","authors":"C. Nadeu, M. Tolos","doi":"10.1109/ASRU.2001.1034606","DOIUrl":null,"url":null,"abstract":"Like the other SpeechDat-Car databases, the Spanish one has been collected using a 16 kHz sampling frequency, and several microphone positions and environmental noises. We aim at clarifying whether there is any advantage in terms of recognition performance from processing the 16 kHz-sampled signals instead of the usual 8 kHz-sampled ones. Recognition tests have been carried out within the Aurora experimental framework, which includes signals from both a close-talking microphone and a distant microphone. Our preliminary results indicate that it is possible to get a performance improvement from the increased bandwidth in the noisy car environment.","PeriodicalId":118671,"journal":{"name":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASRU.2001.1034606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Like the other SpeechDat-Car databases, the Spanish one has been collected using a 16 kHz sampling frequency, and several microphone positions and environmental noises. We aim at clarifying whether there is any advantage in terms of recognition performance from processing the 16 kHz-sampled signals instead of the usual 8 kHz-sampled ones. Recognition tests have been carried out within the Aurora experimental framework, which includes signals from both a close-talking microphone and a distant microphone. Our preliminary results indicate that it is possible to get a performance improvement from the increased bandwidth in the noisy car environment.