Harsha Sathyendra

Learn More
Shortcomings of automatic speech recognition (ASR) applications are becoming more evident as they are more widely used in real life. The inherent non-stationarity associated with the timing of speech signals as well as the dynamical changes in the environment make the ensuing analysis and recognition extremely difficult. Researchers often turn to biology(More)
We propose a duplex theory of spike coding in the early stages of the auditory system based on the intensity and noise levels of the acoustic stimuli. According to this concept, at low intensity levels, where auditory nerve firings cannot generate a high enough synchrony among neuron ensembles, rate coding is more likely favored against phase-locking via(More)
The standards that are still in use for telephone communications since the 1950s limit the information bandwidth to 300-3400Hz. However, in normal conversational speech, the frequency content is mainly between 0-8000Hz. This constraint degrades not only the sound quality but also the intelligibility of the transmitted signal. Instead of modifying the(More)
2008 1 c 2008 Ismail Uysal 2 I would like to dedicate this Ph.D. dissertation and all its corresponding research to my loving wife and all my friends, just for being there whenever I need them. I also would like to thank my parents for supporting me and fueling my desire to study in a reputable graduate school in the United States. 3 ACKNOWLEDGMENTS This(More)
Spiking systems prove robust to noise in a simplified experimental domain. The field of automatic speech recognition (ASR) has advanced far enough in the past decade to produce numerous commercial applications such as the speech-driven telephone customer service menus now deployed by many companies. Unfortunately, these and other state-of-the-art ASR(More)
  • 1