All Speech and Audio Processing Group News

Idiap awards 2022
institute — Dec 21, 2022

Every year, the Institute nominates two students for its internal awards. In 2022, the Paper Award goes to Alexandre Bittar, and the Student Award goes to Teguh Lembono. Congratulations!

Artificial intelligence to answer challenges of Mexican society
research — Nov 25, 2022

Esau Villatoro, research associate at the Speech & Audio Processing group at Idiap, and his colleagues from the Mathematics Research Center (CIMAT) from Mexico have won first place in two competitions related to Natural Language Processing. The objective of these competitions is to improve important aspects of Mexican society such as tourism and communication.

A speech processing system inspired by the human brain
research — Oct 19, 2022

Idiap researchers published a paper describing an approach to speech processing based on the properties of the human brain. Their method proved as efficient as the current standard, whilst conserving the advantage of energy efficiency. Moreover, their work is replicable thanks to open access software paving the way for future applications.

No artificial intelligence without full mastery of maths and statistics
research — Jul 27, 2022

Neural networks are often among cited technologies when it comes to artificial intelligence latest exploits. The downside is that this technology can be demanding in terms of energy costs. Two Idiap researchers demonstrated that in certain cases you should rather go for classical maths rather than for the AI hype.

How applied research impacted his scientific career
institute — Feb 24, 2022

Arriving in 2019 for a sabbatical year from the University of Mexico, Esaú Villatoro has now been working at Idiap for more than two years. Between publishing his work and adapting to Swiss life, he looks back on his experience at the institute.

Idiap is looking for its next director
institute — Jan 14, 2022

Idiap Research Institute and the School of Engineering at EPFL invite applications for the directorship of Idiap. The successful candidate will also hold a faculty position as full professor at EPFL School of Engineering.

Idiap awards 2021
institute — Dec 21, 2021

The Institute nominates every year two students for its internal awards. In 2021, the Best Paper Award goes to Suhan Shetty, and the Best Student Award goes to Parvaneh Janbakhshi. Congratulations!

Over 12 millions Swiss francs for more inclusive ICT
tech — Nov 03, 2021

Access to information is a challenge for disabled people, even at a time when communications channels are increasing. An international consortium gathering researchers, as well as private and public partners, under the leadership of the University of Zurich and including Idiap and Icare from the French speaking side of Switzerland was granted 6 million Swiss francs from Innosuisse—completed by 6 million from private partners—to take up this challenge.

Revisiting autoencoders for speech representation learning
research — last modified Jul 16, 2021

“The deep artificial neural networks are inspired from the hierarchical structure of the human brain. Therefore, questioning the neural networks to learn robust, generalizable representations (abstractions) just like the human brain is not absurd, but challenging. However, revisiting fundamentals can be helpful.”

Prof. Hervé Bourlard to receive the Prestigious IEEE 2022 James L. Flanagan Speech and Audio Processing Award
research — last modified Jul 07, 2021

Director of the Idiap Research Institute and Professor at EPFL, Hervé Bourlard is recognized for his major contributions to neural networks for statistical speech recognition. This distinction is awarded to him jointly with his colleague and long-time friend, Prof. Nelson Morgan of the International Computer Science Institute, and the University of California at Berkeley.

Idiap at ICASSP 2021
research — last modified Apr 21, 2021

Idiap's speech group will be presenting six papers at ICASSP 2021. Our papers address a variety of research problems in pathological and physiological speech processing, automatic speech recognition, and machine learning.

Estimating Breathing Pattern and Parameters from Speech Waveform
research — last modified Mar 25, 2021

Alternation in respiratory system and speech production system results in changes in speech. Therefore, speech signal, which can be acquired in a non-invasive manner, could be used to predict breathing patterns. There is a growing interest in that direction, which has gained further momentum with COVID-19 situation.

HAAWAII H2020 EC project
research — last modified Feb 08, 2021

Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration

research — last modified Jan 29, 2021

A first step towards a Julia-based speech recognition toolkit.

Idiap at NeurIPS 2020
research — last modified Dec 17, 2020

This week Idiap's speech and machine learning group presented their joint work on Fast Transformers with Clustered Attention

Challenges in Cross-Lingual Information Retrieval
research — last modified Dec 02, 2020

Prof. Esaú Villatoto Tello, visitor professor at Idiap since September 2019, joins the SARAL project to work on the design of Cross-lingual Information Retrieval tools.

Lei Wang finishes her internship at Idiap
research — last modified Dec 02, 2020

Lei joined Idiap in October 2019 for an internship in the framework of the China Scholarship Council visiting scholar program. During her internship, she worked on neural network-based mappings for single-channel dereverberation and noise reduction.

The first Roxanne field test took place
research — last modified Nov 02, 2020

Roxanne is a EU-funded project that leverages text, speech and video in real-time in order to build tools for combating organized crime.

Idiap at Interspeech 2020
research — last modified Nov 02, 2020

This week Idiap's speech group will be presenting five papers at Interspeech 2020, the largest conference for automatic speech processing. Our papers address a variety of research problems: Pathological speech processing, Multilingual automatic speech recognition, Automatic Speech Recognition for Air Traffic Control management and Speaker recognition.