Recognition of Reverberant Speech using Full Cepstral Features and Spectral Missing Data
International Conference on Acoustics, Speech, and Signal Processing, 2006
We describe a novel approach to feature combination within the missing data (MD) framework for au... more We describe a novel approach to feature combination within the missing data (MD) framework for automatic speech recognition, and show its application to reverberated speech. Likelihoods from a spectral MD classifier are combined with those from a full cepstral feature vector-based recogniser. Even though the performance of the cepstral recogniser is substantially below that of the MD recogniser, the combined
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Papers by Kalle Palomäki