DocumentCode :
167728
Title :
Integrated system for prosodic features detection from speech
Author :
Zbancioc, M.D. ; Feraru, M.
Author_Institution :
Inst. of Comput. Sci., Tech. Univ. “Gheorghe Asachi” of Iasi, Iasi, Romania
fYear :
2014
fDate :
16-18 Oct. 2014
Firstpage :
114
Lastpage :
117
Abstract :
The paper presents the instruments implemented in SROL (Voiced Sound of Romanian Project) used for the extraction of the fundamental frequency F0 and of the formants F1-F4. In order to have a better detection of the prosodic features, we put together four methods: autocorrelation method, cepstral methods, AMDF (average magnitude difference function), HPS (harmonic product spectrum). The final value of pitch (F0) is established after an integration of the partial results of each method depending on their performance. For the formants detection we used a fuzzy method of spectrum concatenation.
Keywords :
cepstral analysis; correlation methods; error correction; feature extraction; speech recognition; AMDF; HPS; SROL; autocorrelation method; average magnitude difference function; cepstral methods; formants detection; fundamental frequency extraction; fuzzy method; harmonic product spectrum; prosodic features detection; spectrum concatenation; voiced sound of Romanian project; Cepstral analysis; Correlation; Feature extraction; Frequency estimation; Instruments; Software; Speech; fundamental frequency detection; precision annotation; prosodic features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on
Conference_Location :
Iasi
Type :
conf
DOI :
10.1109/ICEPE.2014.6969879
Filename :
6969879
Link To Document :
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