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End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks
Dimitri Palaz, Ronan Collobert, Mathew Magimai. -Doss
Most phoneme recognition state-of-the-art systems rely on a classical neural network classifiers, fed with highly tuned features, such as MFCC or PLP features. Recent advances in `…
Word Emdeddings through Hellinger PCA
Rémi Lebret, Ronan Collobert
Word embeddings resulting from neural language models have been shown to be successful for a large variety of NLP tasks. However, such architecture might be difficult to train and…
Recurrent Convolutional Neural Networks for Scene Parsing
Pedro H. O. Pinheiro, Ronan Collobert
Scene parsing is a technique that consist on giving a label to all pixels in an image according to the class they belong to. To ensure a good visual coherence and a high class accu…
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks
Dimitri Palaz, Ronan Collobert, Mathew Magimai. -Doss
In hybrid hidden Markov model/artificial neural networks (HMM/ANN) automatic speech recognition (ASR) system, the phoneme class conditional probabilities are estimated by first ext…