A new approach for multi-band speech recognition based on probabilistic graphical models

@inproceedings{daoudi:inria-00099058,
 abstract = {In this paper, we introduce a new approach for multi-band speech recognition which allows interaction between sub-bands and does not require a recombination step. Moreover, this approach is a natural generalization of the HMMs paradigm and leads to fast learning and recognition algorithms.},
 address = {Beijing, China},
 author = {Daoudi, Khalid and Fohr, Dominique and Antoine, Christophe},
 booktitle = {{ICSLP}},
 hal_id = {inria-00099058},
 hal_local_reference = {A00-R-324 || daoudi00a},
 hal_version = {v1},
 keywords = {noisy speech recognition ; mod{\`e}les graphiques ; graphical models ; bayesian networks ; multi-band speech recognition ; r{\'e}seaux bayesiens ; reconnaissance multi-bandes de la parole},
 month = {October},
 note = {Colloque avec actes et comit{\'e} de lecture. internationale.},
 pages = {4 p},
 pdf = {https://hal.inria.fr/inria-00099058/file/A00-R-324.pdf},
 title = {{A new approach for multi-band speech recognition based on probabilistic graphical models}},
 url = {https://hal.inria.fr/inria-00099058},
 year = {2000}
}