8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Robust Energy Demodulation Based on Continuous Models with Application to Speech Recognition

Dimitrios Dimitriadis, Petros Maragos

National Technical University of Athens, Greece

In this paper, we develop improved schemes for simultaneous speech interpolation and demodulation based on continuous-time models. This leads to robust algorithms to estimate the instantaneous amplitudes and frequencies of the speech resonances and extract novel acoustic features for ASR. The continuous-time models retain the excellent time resolution of the ESAs based on discrete energy operators and perform better in the presence of noise. We also introduce a robust algorithm based on the ESAs for amplitude compensation of the filtered signals. Furthermore, we use robust nonlinear modulation features to enhance the classic cepstrum-based features and use the augmented feature set for ASR applications. ASR experiments show promising evidence that the robust modulation features improve recognition.

Full Paper

Bibliographic reference.  Dimitriadis, Dimitrios / Maragos, Petros (2003): "Robust energy demodulation based on continuous models with application to speech recognition", In EUROSPEECH-2003, 2853-2856.