Procedia Computer Science · 2019 · 15 citations · 6 references
Language StudiesSpeech-language PathologyAcousticsPhoneticsPsychoacousticsAcoustic PhoneticsClinical PhoneticsSpeech AcousticsSpeech RecognitionSpeech Sound DisordersVoice DisordersAcoustic AnalysisAcoustic Vowel AnalysisCepstral CoefficientsSignal-to-noise RatioSpeech Signal AnalysisSpeech Sound AnalysisSubjectsVowel Acoustics
This paper describes the construction and organization of a database of speech parameters extracted from a speech database. This article intends to inform the community about the existence of this database for future research. The database includes parameters extracted from sounds produced by patients distributed among 19 diseases and control subjects. The set of parameters of this database consists of the jitter, shimmer, Harmonic to Noise Ratio (HNR), Noise to Harmonic Ratio (NHR), autocorrelation and Mel Frequency Cepstral Coefficients (MFCC) extracted from the sound of sustained vowels /a/, /i/ and /u/ at the high, low and normal tones, and a short German sentence. The cured database has a total number of 707 pathological subjects (distributed by the various diseases) and 194 control subjects, in a total of 901 subjects.
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Accuracy of Jitter and Shimmer Measurements
João Paulo Teixeira, André Gonçalves · Procedia Technology · 2014 · 63 citations · Full text