Neural Information Processing Systems / Raw signal / Graph Transformer Networks / /
Country
Switzerland / France / / /
Facility
Features MFCC Raw Raw Raw MFCC MFCC Arch / Idiap Research Institute / /
IndustryTerm
discriminative decoding algorithm / grid search / specific applications / deep belief networks / supplementary processing / baseline systems / stochastic gradient ascent algorithm / image processing / linear dynamical systems / computing / document processing systems / linear applications / speech recognition applications / research groups / pre-processing / language processing / text processing / transformer networks / /
MusicAlbum
Speech / /
Organization
North Atlantic Treaty Organization / Cambridge University Engineering Department / Idiap Research Institute / National Science Foundation / US Federal Reserve / HASLER / Switzerland Ecole Polytechnique F´ed´erale de Lausanne / Swiss National Center of Competence / /
Person
P. Nguyen / Max-Pooling max / T. N. Sainath / V. Vanhoucke / D. Ollason / V / Mathew Magimai / /
Position
MP / /
ProgrammingLanguage
ML / /
PublishedMedium
The Journal of Machine Learning Research / /
Technology
decoding algorithms / speech recognition / Natural language processing / neural network / stochastic gradient ascent algorithm / discriminative decoding algorithm / machine learning / image processing / pdf / performed using the stochastic gradient ascent algorithm / /
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks Dimitri Palaz1,2 , Ronan Collobert1 , Mathew Magimai.-Doss1 1 2