Spectro-temporal modulation detection in children

Spectro - Temporal Modulation Transfer Functions and Speech

Neural Correlates of Spectral, Temporal and Spectro-temporal Modulation

DEDICATION I would like to dedicate this thesis to my Director and Program Coordinator Dr. Robert Frisina Jr. who has encouraged me and stood by my side in my tough times and to my parents, brother and soul-sister, who have been my four pillars of support through all the high and low tides in my life. ACKNOWLEDGMENTS I would like to express my heartfelt gratitude to my major professor Dr. David...

Modeling spectro-temporal modulation perception in normal-hearing listeners

The ability of human listeners to detect and discriminate spectro-temporal ripples in sound has been shown to be correlated with speech intelligibility performance in several conditions. Thus, if a model would be able to account for the spectro-temporal processing limits in the auditory system, such a framework could be used to analyze the auditory processes contributing to and limiting speech ...

Spectro-temporal cues enhance modulation sensitivity in cochlear implant users.

Although speech understanding is highly variable amongst cochlear implants (CIs) subjects, the remarkably high speech recognition performance of many CI users is unexpected and not well understood. Numerous factors, including neural health and degradation of the spectral information in the speech signal of CIs, likely contribute to speech understanding. We studied the ability to use spectro-tem...

Spectro-temporal modulation based singing detection combined with pitch-based grouping for singing voice separation

A spectro-temporal modulation based singing voice detection cascaded with a Viterbi based pitch tracking algorithm is proposed in this paper for singing-voice separation from monaural recordings. To detect the singing voice, the spectrotemporal modulation energy related to voice harmonics is extracted using a spectro-temporal modulation analysis framework developed for the Fourier spectrogram. ...