Title :
Comparative study of different excitation signals on Mel-generalized cepstral synthesis filters
Author :
Bahaadini, Sara ; Sameti, Hossein ; Mohammadi, Seyed Hamidreza
Author_Institution :
Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
In speech production systems, the vocal tract is modeled by a filter and glottal pulse by an excitation signal. In most traditional systems impulse train or noise is used as the excitation. In this paper the effects of different excitation signals on Mel-generalized cepstral filters (LPC, warped LPC, mel cepstral and ML cepstral) are studied. Excitation signals with different pulse shapes are used. Furthermore, based on voicing power, noise factor is added to the excitation signals. Totally 600 different experiments with different filter types, number of coefficients, pulse shapes, pulse widths and noise power are preformed. Synthesized speech is evaluated by PESQ measure. A number of pulse shapes result in much better quality than the impulse. It is also shown that a simple noise addition method improves speech quality in many cases. The best excitation for each filter depends on its type.
Keywords :
cepstral analysis; filtering theory; impulse noise; speech synthesis; PESQ; excitation signal; impulse train; mel-generalized cepstral filters; noise addition method; speech production systems; speech synthesis; vocal tract; Cepstral analysis; Filtering theory; Hidden Markov models; Noise; Shape; Speech; Speech synthesis; Excitation signals; PESQ; mel-generalized cepstral filter; voice quality;
Conference_Titel :
Artificial Intelligence and Signal Processing (AISP), 2011 International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-9833-8
DOI :
10.1109/AISP.2011.5960983