{"title":"使用动态基本谐波归一化的扰动元音发声可视化","authors":"K. Manickam, C. Moore","doi":"10.1109/IV.2002.1028833","DOIUrl":null,"url":null,"abstract":"In larynx cancer patients the monitoring of vocal fold behaviour can be achieved using glottal waveforms for vowels captured as trans-larynx impedance time series via an electro-laryngograph. The impedance signals are sustained for up to 4 seconds, digitised at 20 kHz, and divided into 1000 point frames. An estimate of the instantaneous power spectral density PSD is computed from of each frame. However, detailed spectral differences between normal and aberrant vowel phonation are obscured by dynamic variations in fundamental frequency f/sub 0/. To separate fundamental and harmonic behaviour, f/sub 0/ is extracted from a frame and used to normalise spectral powers and to transform the entire frequency range into floating point multiples of the fundamental frequency. FHN dynamic PSD can then be presented as shaded surfaces to the clinician for evaluation. Examples are given for normal volunteers and a patient assessed by speech and language therapists pre-treatment, then at 6 and 12 months post treatment.","PeriodicalId":308951,"journal":{"name":"Proceedings Sixth International Conference on Information Visualisation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualisation of perturbed vowel phonation using dynamic fundamental harmonic normalisation\",\"authors\":\"K. Manickam, C. Moore\",\"doi\":\"10.1109/IV.2002.1028833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In larynx cancer patients the monitoring of vocal fold behaviour can be achieved using glottal waveforms for vowels captured as trans-larynx impedance time series via an electro-laryngograph. The impedance signals are sustained for up to 4 seconds, digitised at 20 kHz, and divided into 1000 point frames. An estimate of the instantaneous power spectral density PSD is computed from of each frame. However, detailed spectral differences between normal and aberrant vowel phonation are obscured by dynamic variations in fundamental frequency f/sub 0/. To separate fundamental and harmonic behaviour, f/sub 0/ is extracted from a frame and used to normalise spectral powers and to transform the entire frequency range into floating point multiples of the fundamental frequency. FHN dynamic PSD can then be presented as shaded surfaces to the clinician for evaluation. Examples are given for normal volunteers and a patient assessed by speech and language therapists pre-treatment, then at 6 and 12 months post treatment.\",\"PeriodicalId\":308951,\"journal\":{\"name\":\"Proceedings Sixth International Conference on Information Visualisation\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Sixth International Conference on Information Visualisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2002.1028833\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2002.1028833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualisation of perturbed vowel phonation using dynamic fundamental harmonic normalisation
In larynx cancer patients the monitoring of vocal fold behaviour can be achieved using glottal waveforms for vowels captured as trans-larynx impedance time series via an electro-laryngograph. The impedance signals are sustained for up to 4 seconds, digitised at 20 kHz, and divided into 1000 point frames. An estimate of the instantaneous power spectral density PSD is computed from of each frame. However, detailed spectral differences between normal and aberrant vowel phonation are obscured by dynamic variations in fundamental frequency f/sub 0/. To separate fundamental and harmonic behaviour, f/sub 0/ is extracted from a frame and used to normalise spectral powers and to transform the entire frequency range into floating point multiples of the fundamental frequency. FHN dynamic PSD can then be presented as shaded surfaces to the clinician for evaluation. Examples are given for normal volunteers and a patient assessed by speech and language therapists pre-treatment, then at 6 and 12 months post treatment.