{"title":"基于韵律词的汉语连续语音声调评价","authors":"Yi-Qian Pan, Si Wei, Ren-Hua Wang","doi":"10.1109/CHINSL.2008.ECP.77","DOIUrl":null,"url":null,"abstract":"Tonal evaluation of Chinese continuous speech plays an important role in Mandarin Chinese pronunciation test. In this paper, we introduce the Multi- Space Distribution Hidden Markov Model based on prosodic word. The results show that the performance of tonal syllable error rate can be reduced. For the non-standard Chinese Mandarin speech, the correlation between computer score and expert score was improved above 3.0% absolutely, compared with the baseline system without tonal pronunciation test.","PeriodicalId":291958,"journal":{"name":"2008 6th International Symposium on Chinese Spoken Language Processing","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words\",\"authors\":\"Yi-Qian Pan, Si Wei, Ren-Hua Wang\",\"doi\":\"10.1109/CHINSL.2008.ECP.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tonal evaluation of Chinese continuous speech plays an important role in Mandarin Chinese pronunciation test. In this paper, we introduce the Multi- Space Distribution Hidden Markov Model based on prosodic word. The results show that the performance of tonal syllable error rate can be reduced. For the non-standard Chinese Mandarin speech, the correlation between computer score and expert score was improved above 3.0% absolutely, compared with the baseline system without tonal pronunciation test.\",\"PeriodicalId\":291958,\"journal\":{\"name\":\"2008 6th International Symposium on Chinese Spoken Language Processing\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 6th International Symposium on Chinese Spoken Language Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CHINSL.2008.ECP.77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 6th International Symposium on Chinese Spoken Language Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHINSL.2008.ECP.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words
Tonal evaluation of Chinese continuous speech plays an important role in Mandarin Chinese pronunciation test. In this paper, we introduce the Multi- Space Distribution Hidden Markov Model based on prosodic word. The results show that the performance of tonal syllable error rate can be reduced. For the non-standard Chinese Mandarin speech, the correlation between computer score and expert score was improved above 3.0% absolutely, compared with the baseline system without tonal pronunciation test.
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