Title :
Decomposition of speech signals into a periodic and non-periodic part based on sinusoidal models
Author :
Yannis, Stylianou
Author_Institution :
Groupe ESIEE, Noisy Le Grand, France
Abstract :
This paper focuses on the speech signals decomposition problem based on three sinusoidal models which can be viewed as three versions of a basic model: the Harmonic plus Noise Model, HNM. For the first model, noted as HNM1, the harmonic amplitudes are retained constants within the analysis frame; the phase is assumed to be linear. The second model, HNM2, makes use of linearly varying complex amplitudes for the harmonic part whereas, the third model, HNM3 , makes use of a third order polynomial with real coefficients for the harmonic amplitudes and also linear phase as the first model. To obtain the non-periodic part (or noise part) the harmonic part is simply subtracting from the original speech signal in the time domain
Keywords :
harmonics; parameter estimation; polynomials; speech processing; speech synthesis; harmonic amplitudes; harmonic plus noise model; linear phase; linearly varying complex amplitudes; nonperiodic part; periodic part; real coefficients; sinusoidal models; speech signal decomposition; third order polynomial; Acoustic noise; Harmonic analysis; Pathology; Polynomials; Psychoacoustic models; Psychology; Signal synthesis; Speech coding; Speech enhancement; Speech synthesis;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.582918