{"title":"使用8千赫和16千赫采样信号的speech - dat - car Aurora西班牙数据库进行识别实验","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":"{\"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}","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
摘要
和其他的speech - dat - car数据库一样,西班牙语数据库使用16千赫的采样频率,以及几个麦克风位置和环境噪声来收集数据。我们的目的是澄清处理16 khz采样信号而不是通常的8 khz采样信号在识别性能方面是否有任何优势。识别测试已经在极光实验框架内进行,其中包括来自近距离通话麦克风和远距离麦克风的信号。我们的初步结果表明,在嘈杂的汽车环境中,带宽的增加可能会提高性能。
Recognition experiments with the SpeechDat-Car Aurora Spanish database using 8 kHz- and 16 kHz-sampled signals
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.