Concept
Lip reading
Related publications (25)
Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs
Julian David Fritsch, Subrahmanya Pavankumar Dubagunta
Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within t ...
2020Perceptual Information Loss due to Impaired Speech Production
Hervé Bourlard, Milos Cernak, Afsaneh Asaei
Phonological classes define articulatory-free and articulatory-bound phone attributes. Deep neural network is used to estimate the probability of phonological classes from the speech signal. In theory, a unique combination of phone attributes form a phonem ...
2017Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR
Ramya Rasipuram, Marzieh Razavi
Standard automatic speech recognition (ASR) systems rely on transcribed speech, language models, and pronunciation dictionaries to achieve state-of-the-art performance. The unavailability of these resources constrains the ASR technology to be available for ...
2013Enhancing posterior based speech recognition systems
The use of local phoneme posterior probabilities has been increasingly explored for improving speech recognition systems. Hybrid hidden Markov model / artificial neural network (HMM/ANN) and Tandem are the most successful examples of such systems. In this ...
Ecole Polytechnique Fédérale de Lausanne2008