Voice Activity Detection and Pitch analysis in Pathological Voices
M. Udayashankara. International Journal of Trend in Scientific Research and Development, 1 (5):
423-428(August 2017)
Abstract
This paper presents the voice activity detection (VAD) using basic parameters. The voice is found to have hoarseness in case of thyroid and laryngeal cancer patients. It is useful for the better analysis of pathological voices in presence of background noise. Automatic voice pathology detection and classification is important in the voice disorder assessment. Here, two pitch detection algorithms are used for the analysis. This enhanced voice enables the early detection and diagnosis of type of pathology related to the patient. Mr. G.B. Gour | Dr. V. Udayashankara"Voice Activity Detection and Pitch analysis in Pathological Voices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2324.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/2324/voice-activity-detection-and-pitch-analysis-in-pathological-voices/mr-gb-gour
%0 Journal Article
%1 noauthororeditor
%A Udayashankara, Mr. G.B. Gour Dr. V.
%D 2017
%J International Journal of Trend in Scientific Research and Development
%K Biomedical Biotechnology Engineering Pitch Voice activity and classification detectio detection detection. mechanical& pathology
%N 5
%P 423-428
%T Voice Activity Detection and Pitch analysis in Pathological Voices
%U http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/2324/voice-activity-detection-and-pitch-analysis-in-pathological-voices/mr-gb-gour
%V 1
%X This paper presents the voice activity detection (VAD) using basic parameters. The voice is found to have hoarseness in case of thyroid and laryngeal cancer patients. It is useful for the better analysis of pathological voices in presence of background noise. Automatic voice pathology detection and classification is important in the voice disorder assessment. Here, two pitch detection algorithms are used for the analysis. This enhanced voice enables the early detection and diagnosis of type of pathology related to the patient. Mr. G.B. Gour | Dr. V. Udayashankara"Voice Activity Detection and Pitch analysis in Pathological Voices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2324.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/2324/voice-activity-detection-and-pitch-analysis-in-pathological-voices/mr-gb-gour
@article{noauthororeditor,
abstract = {This paper presents the voice activity detection (VAD) using basic parameters. The voice is found to have hoarseness in case of thyroid and laryngeal cancer patients. It is useful for the better analysis of pathological voices in presence of background noise. Automatic voice pathology detection and classification is important in the voice disorder assessment. Here, two pitch detection algorithms are used for the analysis. This enhanced voice enables the early detection and diagnosis of type of pathology related to the patient. Mr. G.B. Gour | Dr. V. Udayashankara"Voice Activity Detection and Pitch analysis in Pathological Voices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2324.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/2324/voice-activity-detection-and-pitch-analysis-in-pathological-voices/mr-gb-gour
},
added-at = {2018-09-01T12:26:42.000+0200},
author = {Udayashankara, Mr. G.B. Gour Dr. V.},
biburl = {https://www.bibsonomy.org/bibtex/2a3ee9fe02ccd7f531871031465d4c102/ijtsrd},
interhash = {02a5b9bb9aa904034069e8f76fca137c},
intrahash = {a3ee9fe02ccd7f531871031465d4c102},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Biomedical Biotechnology Engineering Pitch Voice activity and classification detectio detection detection. mechanical& pathology},
language = {English},
month = aug,
number = 5,
pages = {423-428},
timestamp = {2018-10-02T11:01:27.000+0200},
title = {Voice Activity Detection and Pitch analysis in Pathological Voices
},
url = {http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/2324/voice-activity-detection-and-pitch-analysis-in-pathological-voices/mr-gb-gour},
volume = 1,
year = 2017
}