Running Title: Syllable intelligibility for ltered cepstral trajectories Received: T. Arai et al., \Syllable intelligibility for ltered cepstral trajectories," JASA 2 Abstract We measured the intelligibility of syllables whose cepstral trajectories were temporally ltered. The speech signals were transformed to their LPC cepstral coeecients, and these coeecients were passed through diierent lter...

In this paper, we present new dynamic features derived from the modulation spectrum of the cepstral trajectories of the speech signal. Cepstral trajectories are projected over the basis of sines and cosines yielding the cepstral modulation frequency response of the speech signal. We show that the different sines and cosines basis vectors select different modulation frequencies, whereas, the fre...

This paper proposes using modulation cepstrum coefficients instead of cepstral coefficients for extracting metadata information such as age and gender. These coefficients are extracted by applying discrete cosine transform to a time-sequence of cepstral coefficients. Lower order coefficients of this transformation represent smooth cepstral trajectories over time. Results presented in this paper...

Source separation by cepstral smoothing of binary masks In this paper, we propose a separation system of speech signals from two convolutive mixtures. The suggested system is based on the combination of blind source separation technique with a time-frequency masking procedure, followed by a smoothing cepstral. Indeed, after separation of signal sources, the estimated binary masks undergo a ceps...

Recognizing human emotions through vocal channel has gained increased attention recently. In this paper, we study how used features, and classifiers impact recognition accuracy of emotions present in speech. Four emotional states are considered for classification of emotions from speech in this work. For this aim, features are extracted from audio characteristics of emotional speech using Linea...

Acoustic-to-articulatory inversion of speech signals via an analysisby-synthesis method requires the comparison of natural and synthetic speech spectra either indirectly via formant frequencies, or directly via cepstral coefficients. This paper investigates several strategies of cepstral adaptation (affine transformation of cepstral coefficients, bilinear or piecewise linear frequency warping) ...

The statistical properties of a speech feature could differ under the influence of noisy environments. These effects are common in mismatched environments such as additive background noise and reverberant environments. Normalization strategies are employed in speech recognition systems to compensate for the effects of environmental mismatch. This work explores the utilization of cepstral moment...