Publications related to Phonics

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Mahsa Shoaran, Uisub Shin, Gregor Rainer, Mohammad Ali Shaeri, Amitabh Yadav

Recently, cutting-edge brain-machine interfaces (BMIs) have revealed the potential of decoders such as recurrent neural networks (RNNs) in predicting attempted handwriting [1] or speech [2], enabling rapid communication recovery after paralysis. However, c ...

IEEE2024

Parenté, proximité spatiale et liens sociaux de l’Ancien Régime à la Suisse Moderne

Lucas Arnaud André Rappo

A travers le cas de la paroisse de Corsier-sur-Vevey en Suisse, ce livre analyse la transition entre Ancien Régime et Suisse moderne telle qu’elle se reflète dans les choix de partenaires sociaux, en mettant l’accent sur les mariages, les parrainages et le ...

Peter Lang2022

Retrouver un esprit de communauté. Transformation de bâtiments ruraux à Liez dans un objectif de revitalisation du village

Situé au cœur du Val d’Hérens, Liez est un village de montagne typiquement valaisan, avec ses groupes de maisons entrecoupés de vieilles granges-écuries et de ruelles étroites qui semblent avoir perdu le fil du temps. Ce hameau tranquille se compose princi ...

2022

Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks

Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi

Automatic dysarthric speech detection can provide reliable and cost-effective computer-aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we propose a novel automatic dysarthric speech detection approach based on analy ...

IEEE2021

Inkjet-printed polymer composites for the detection of volatile organic compounds

Mohammadmahdi Kiaee

Sensors capable of detecting and classifying volatile organic compounds (VOC) have been gaining more attention by the advent of internet-of-things (IoT) enabled devices and integration of various sensing elements into hand-held and portable devices. The re ...

EPFL2021

AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS

Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi

Automatic dysarthric speech detection can provide reliable and cost-effective computer-aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we propose a novel automatic dysarthric speech detection approach based on analy ...

Idiap2020

Multisensory perceptual awareness: Categorical or graded?

Olaf Blanke, Nathan Quentin Faivre, Jean-Paul Noel

Neural evidence suggests that mechanisms associated with conscious access (i.e., the ability to report on a conscious state) are “all-or-none”. Upon crossing some threshold, neural signals are globally broadcast throughout the brain and allow conscious rep ...

2019

Character-level Chinese-English Translation through ASCII Encoding

Mi Xue Tan

Character-level Neural Machine Translation(NMT) models have recently achieved impressive results on many language pairs. They mainly do well for Indo-European language pairs, where the languages share the same writing system. However, for translating betwe ...

Association for Computational Linguistics2018

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Ramya Rasipuram, Marzieh Razavi

Developing a phonetic lexicon for a language requires linguistic knowledge as well as human effort, which may not be available, particularly for under-resourced languages. An alternative to development of a phonetic lexicon is to automatically derive subwo ...

Idiap2017

Endogenous Control of Powered Lower-Limb Exoskeleton

José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu

We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three d ...

Springer Int Publishing Ag2017

Phonics

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Parenté, proximité spatiale et liens sociaux de l’Ancien Régime à la Suisse Moderne

Retrouver un esprit de communauté. Transformation de bâtiments ruraux à Liez dans un objectif de revitalisation du village

Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks

Inkjet-printed polymer composites for the detection of volatile organic compounds

AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS

Multisensory perceptual awareness: Categorical or graded?

Character-level Chinese-English Translation through ASCII Encoding

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Endogenous Control of Powered Lower-Limb Exoskeleton

Graph Chatbot

Chat with Graph Search

Retrouver un esprit de communauté. Transformation de bâtiments ruraux à Liez dans un objectif de revitalisation du village

Inkjet-printed polymer composites for the detection of volatile organic compounds

Parenté, proximité spatiale et liens sociaux de l’Ancien Régime à la Suisse Moderne

Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models

Multisensory perceptual awareness: Categorical or graded?

AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS

Character-level Chinese-English Translation through ASCII Encoding

Endogenous Control of Powered Lower-Limb Exoskeleton

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks