Concept

Time delay neural network

Publications associées (143)

Multi-Level Error-Resilient Neural Networks

The problem of neural network association is to retrieve a previously memorized pattern from its noisy version using a network of neurons. An ideal neural network should include three components simultaneously: a learning algorithm, a large pattern retriev ...

IEEE2012

Improving Object Classification using Pose Information

François Fleuret, Hugo Augusto Penedones Fernandes, Ronan Collobert, David Grangier

We propose a method that exploits pose information in order to improve object classification. A lot of research has focused in other strategies, such as engineering feature extractors, trying different classifiers and even using transfer learning. Here, we ...

Idiap2012

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Ramya Rasipuram

In this paper, we propose a novel framework to integrate articulatory features (AFs) into HMM- based ASR system. This is achieved by using posterior probabilities of different AFs (estimated by multilayer perceptrons) directly as observation features in Ku ...

Idiap2011

Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition

Ramya Rasipuram

2011

Improving Articulatory Feature and Phoneme Recognition using Multitask Learning

Ramya Rasipuram

Speech sounds can be characterized by articulatory features. Articulatory features are typically estimated using a set of multilayer perceptrons (MLPs), i.e., a separate MLP is trained for each articulatory feature. In this paper, we investigate multitask ...

Springer Berlin / Heidelberg2011

Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features

Fabio Valente, Wen Wang

Recently, several multi-layer perceptron (MLP)- based front-ends have been developed and used for Mandarin speech recognition, often showing significant complementary properties to conventional spectral features. Although widely used in multiple Mandarin s ...

2011

MULTITASK LEARNING TO IMPROVE ARTICULATORY FEATURE ESTIMATION AND PHONEME RECOGNITION

Ramya Rasipuram

Idiap2011

Max-pooling convolutional neural networks for vision-based hand gesture recognition

Automatic recognition of gestures using computer vision is important for many real-world applications such as sign language recognition and human-robot interaction (HRI). Our goal is a real-time hand gesture-based HRI interface for mobile robots. We use a ...

2011

Sensory feedback plays a significant role in generating walking gait and in gait transition in salamanders: a simulation study

Auke Ijspeert, Alexander Kozlov, Andrej Bicanski, Jérémie Knüsel

Here, we investigate the role of sensory feedback in gait generation and transition by using a three-dimensional, neuro-musculo-mechanical model of a salamander with realistic physical parameters. Activation of limb and axial muscles were driven by neural ...

2011

Improving non-native ASR through stochastic multilingual phoneme space transformations

Hervé Bourlard, Philip Neil Garner, John David Scott Dines, David Imseng

We propose a stochastic phoneme space transformation technique that allows the conversion of conditional source phoneme posterior probabilities (conditioned on the acoustics) into target phoneme posterior probabilities. The source and target phonemes can b ...

2011

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