%Aigaion2 BibTeX export from Idiap Publications
%Thursday 18 July 2024 05:19:15 PM

@ARTICLE{morris-spcom1.bib,
         author = {Morris, Andrew and Hagen, Astrid and Glotin, Herv{\'{e}} and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          title = {Multi-stream adaptive evidence combination for noise robust ASR},
        journal = {Speech Communication},
           year = {2001},
      publisher = {NORTH-HOLLAND},
       crossref = {morris-RR-99-26},
       abstract = {In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoacoustics, multi-band ASR aims for robustness to data mismatch through the exploitation of spectral redundancy, while making minimum assumptions about noise type. Previous ASR tests have shown that independent sub-band processing can lead to decreased recognition performance with clean speech. We have overcome this problem by considering every combination of data sub-bands as an independent data stream. After introducing the background to multi-band ASR, we show how this "full combination" approach can be formalised, in the context of HMM/ANN based ASR, by introducing a latent variable to specify which data sub-bands in each data frame are free from data mismatch. This enables us to decompose the posterior probability for each phoneme into a reliability weighted integral over all possible positions of clean data. This approach offers great potential for adaptation to rapidly changing and unpredictable noise.},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{morris-RR-99-26,
         author = {Morris, Andrew and Hagen, Astrid and Glotin, Herv{\'{e}} and Bourlard, Herv{\'{e}}},
       keywords = {evidence combination, multi-stream processing, noise adaptation, robust ASR},
       projects = {Idiap},
          title = {Multi-stream adaptive evidence combination for noise robust ASR},
           type = {Idiap-RR},
         number = {Idiap-RR-26-1999},
           year = {1999},
    institution = {IDIAP},
       abstract = {In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoacoustics, multi-band ASR aims for robustness to data mismatch through the exploitation of spectral redundancy, while making minimum assumptions about noise type. Previous ASR tests have shown that independent sub-band processing can lead to decreased recognition performance with clean speech. We have overcome this problem by considering every combination of data sub-bands as an independent data stream. After introducing the background to multi-band ASR, we show how this "full combination" approach can be formalised, in the context of HMM/ANN based ASR, by introducing a latent variable to specify which data sub-bands in each data frame are free from data mismatch. This enables us to decompose the posterior probability for each phoneme into a reliability weighted integral over all possible positions of clean data. This approach offers great potential for adaptation to rapidly changing and unpredictable noise.},
            pdf = {https://publications.idiap.ch/attachments/reports/1999/rr99-26.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/1999/rr99-26.ps.gz},
ipdmembership={speech},
}