Abstract Natural Language Interfaces allow human-computer interaction through the
translation of human intention into devices' control commands, analyzing the user's speech …

SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the
research and development of neural speech processing technologies by being simple …

Language models have traditionally been estimated based on relative frequencies, using
count statistics that can be extracted from huge amounts of text data. More recently, it has …

This work presents a statistical recognition approach performing large vocabulary
continuous sign language recognition across different signers. Automatic sign language …

The availability of open-source software is playing a remarkable role in the popularization of
speech recognition and deep learning. Kaldi, for instance, is nowadays an established …

This work presents a new approach to learning a frame-based classifier on weakly labelled
sequence data by embedding a CNN within an iterative EM algorithm. This allows the CNN …

This work presents an iterative re-alignment approach applicable to visual sequence
labelling tasks such as gesture recognition, activity recognition and continuous sign …

Multidimensional long short-term memory recurrent neural networks achieve impressive
results for handwriting recognition. However, with current CPU-based implementations, their …

This paper introduces the end-to-end embedding of a CNN into a HMM, while interpreting
the outputs of the CNN in a Bayesian fashion. The hybrid CNN-HMM combines the strong …

This manuscript introduces the end-to-end embedding of a CNN into a HMM, while
interpreting the outputs of the CNN in a Bayesian framework. The hybrid CNN-HMM …