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Advisor(s)
Abstract(s)
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.
Description
Keywords
Laryngeal speech features MFCC Speech database HNR NHR Autocorrelation
Pedagogical Context
Citation
Fernandes, Joana; Silva, Leticia;, Teixeira, Felipe;Guedes, Victor; Santos, Juliana;
Teixeira, João Paulo (2019). Parameters for vocal acoustic analysis - cured database. In International Conference on ENTERprise Information Systems, International Conference on Project MANagement and International Conference on Health and Social Care Information Systems and Technologie. Tunisia. 164, p. 654-661
Publisher
Elsevier
