%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Do_SLT_2012,
         author = {Do, Cong-Thanh and Taghizadeh, Mohammad J. and Garner, Philip N.},
       projects = {IM2},
          month = dec,
          title = {COMBINING CEPSTRAL NORMALIZATION AND COCHLEAR IMPLANT-LIKE SPEECH PROCESSING FOR MICROPHONE ARRAY-BASED SPEECH RECOGNITION},
      booktitle = {Proceedings of the IEEE Workshop on Spoken Language Technology},
           year = {2012},
       abstract = {This paper investigates the combination of cepstral normalization
and cochlear implant-like speech processing for microphone array-
based speech recognition. Testing speech signals are recorded by
a circular microphone array and are subsequently processed with
superdirective beamforming and McCowan post-filtering. Training
speech signals, from the multichannel overlapping Number corpus
(MONC), are clean and not overlapping. Cochlear implant-like
speech processing, which is inspired from the speech processing
strategy in cochlear implants, is applied on the training and testing
speech signals. Cepstral normalization, including cepstral mean
and variance normalization (CMN and CVN), are applied on the
training and testing cepstra. Experiments show that implementing
either cepstral normalization or cochlear implant-like speech pro-
cessing helps in reducing the WERs of microphone array-based
speech recognition. Combining cepstral normalization and cochlear
implant-like speech processing reduces further the WERs, when
there is overlapping speech. Train/test mismatches are measured
using the Kullback-Leibler divergence (KLD), between the global
probability density functions (PDFs) of training and testing cepstral
vectors. This measure reveals a train/test mismatch reduction when
either cepstral normalization or cochlear implant-like speech pro-
cessing is used. It reveals also that combining these two processing
reduces further the train/test mismatches as well as the WERs.},
            pdf = {https://publications.idiap.ch/attachments/papers/2012/Do_SLT_2012.pdf}
}