@article{(Open Science Index):https://publications.waset.org/pdf/16525, title = {A New Time-Frequency Speech Analysis Approach Based On Adaptive Fourier Decomposition}, author = {Liming Zhang}, country = {}, institution = {}, abstract = {In this paper, a new adaptive Fourier decomposition (AFD) based time-frequency speech analysis approach is proposed. Given the fact that the fundamental frequency of speech signals often undergo fluctuation, the classical short-time Fourier transform (STFT) based spectrogram analysis suffers from the difficulty of window size selection. AFD is a newly developed signal decomposition theory. It is designed to deal with time-varying non-stationary signals. Its outstanding characteristic is to provide instantaneous frequency for each decomposed component, so the time-frequency analysis becomes easier. Experiments are conducted based on the sample sentence in TIMIT Acoustic-Phonetic Continuous Speech Corpus. The results show that the AFD based time-frequency distribution outperforms the STFT based one. }, journal = {International Journal of Electrical and Computer Engineering}, volume = {7}, number = {7}, year = {2013}, pages = {938 - 942}, ee = {https://publications.waset.org/pdf/16525}, url = {https://publications.waset.org/vol/79}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 79, 2013}, }