法语顿音和鼻音的判别分析和知觉测试

[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI:10.1109/ICPR.1988.28445

S. Kitazawa, J. Tubach

{"title":"法语顿音和鼻音的判别分析和知觉测试","authors":"S. Kitazawa, J. Tubach","doi":"10.1109/ICPR.1988.28445","DOIUrl":null,"url":null,"abstract":"French stop and nasal consonants are, shown through statistical analysis, to be recognizable by machine using features of spectrum adjacent to the stop burst or the release under speaker- and vowel-independent conditions. The fact that human perception can recognize most syllables which are misclassified by machine suggests that the acoustic processing of speech signals can be improved for more precise pattern recognition.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Discriminant analysis and perceptual test of French stops and nasals\",\"authors\":\"S. Kitazawa, J. Tubach\",\"doi\":\"10.1109/ICPR.1988.28445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"French stop and nasal consonants are, shown through statistical analysis, to be recognizable by machine using features of spectrum adjacent to the stop burst or the release under speaker- and vowel-independent conditions. The fact that human perception can recognize most syllables which are misclassified by machine suggests that the acoustic processing of speech signals can be improved for more precise pattern recognition.<<ETX>>\",\"PeriodicalId\":314236,\"journal\":{\"name\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988 Proceedings] 9th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1988.28445\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988 Proceedings] 9th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1988.28445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

通过统计分析显示，机器可以利用在独立于说话人和元音的情况下与顿音爆发或释放相邻的频谱特征来识别法语的顿音和鼻辅音。人类感知可以识别大多数被机器错误分类的音节，这一事实表明，语音信号的声学处理可以得到更精确的模式识别。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Discriminant analysis and perceptual test of French stops and nasals

French stop and nasal consonants are, shown through statistical analysis, to be recognizable by machine using features of spectrum adjacent to the stop burst or the release under speaker- and vowel-independent conditions. The fact that human perception can recognize most syllables which are misclassified by machine suggests that the acoustic processing of speech signals can be improved for more precise pattern recognition.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

[1988 Proceedings] 9th International Conference on Pattern Recognition

自引率

0.00%

发文量