{"title":"发音障碍者的时间、频率和倒谱域的基音检测","authors":"S. S. Bhabad, G. Kharate, Smita C. Stunde","doi":"10.1109/MITE.2013.6756310","DOIUrl":null,"url":null,"abstract":"Pitch is an important parameter of speech. A good estimation of pitch period is crucial to the performance of speech analysis and synthesis system. This paper describes autocorrelation and AMDF method for pitch detection in time domain. FFT, spectral autocorrelation method in frequency domain and cepstral domain algorithm for pitch detection. Voiced and unvoiced part of the speech is separated for further speech processing using pitch. Results are obtained for database of articulatoy handicapped people.","PeriodicalId":284844,"journal":{"name":"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Pitch detection in time, frequency and cepstral domain for articulatory handicapped people\",\"authors\":\"S. S. Bhabad, G. Kharate, Smita C. Stunde\",\"doi\":\"10.1109/MITE.2013.6756310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pitch is an important parameter of speech. A good estimation of pitch period is crucial to the performance of speech analysis and synthesis system. This paper describes autocorrelation and AMDF method for pitch detection in time domain. FFT, spectral autocorrelation method in frequency domain and cepstral domain algorithm for pitch detection. Voiced and unvoiced part of the speech is separated for further speech processing using pitch. Results are obtained for database of articulatoy handicapped people.\",\"PeriodicalId\":284844,\"journal\":{\"name\":\"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MITE.2013.6756310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MITE.2013.6756310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pitch detection in time, frequency and cepstral domain for articulatory handicapped people
Pitch is an important parameter of speech. A good estimation of pitch period is crucial to the performance of speech analysis and synthesis system. This paper describes autocorrelation and AMDF method for pitch detection in time domain. FFT, spectral autocorrelation method in frequency domain and cepstral domain algorithm for pitch detection. Voiced and unvoiced part of the speech is separated for further speech processing using pitch. Results are obtained for database of articulatoy handicapped people.