Titlebook: Advances in Nonlinear Speech Processing; 6th International Co Thomas Drugman,Thierry Dutoit Conference proceedings 2013 Springer-Verlag Ber

鋼筆尖

必死

https://doi.org/10.1057/9781137263636 as LPC (Linear Prediction Coefficients), PLP (Perceptual Linear Prediction), for recognition of isolated words of speech from the TIMIT database. The recognition system is implemented on HTK platform (Hidden Toolkit) based on the Hidden Markov Models with Gaussian Mixture observation continuous densities (HMM-GM).

平淡而無味

ligature

C. J. Andrews,D. S. Apul,I. Linkovrding the results, it is possible to achieve accuracy rates of up to 76,81% considering only utterances from the vowel /i/. When features calculated from the five Spanish vowels are combined, the performance of the system is not improved, indicating that the inclusion of more NLD features to the system does not guarantee better performance.

Limousine

C. J. Andrews,D. S. Apul,I. Linkovs: inspiration, transition or retention and expiration providing a fine monitoring of the respiration process. As all of those algorithms are of low complexity and the auxiliary equipment required could only be a standard microphone from a conventional Bluetooth Headset, the system could be able to run in a smartphone device.

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征服

萬靈丹

0302-9743 he 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical sections on speech and audio analysis; speech

STANT

Mental Health in Global Perspective,nse voice. One striking finding is that glottal model-based parameters compared favourably to parameters measured directly from the glottal source signal, in terms of separation of breathy to tense voice. Also, certain combinations of inverse filtering and parameterisation methods were more robust than others.

擁護(hù)者

C. Malina Kaulukukui,Lorenn Walkerraints can be imposed to a system operating in the cepstral domain in order to get more informative conversion functions. The resulting method can be used to study the differences between source and target voices in terms of formant location in frequency, spectral tilt and amplitude in specific bands.