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Speech & Audio Processing

Speech processing has been one of the mainstays of Idiap’s research portfolio for many years. Today it is still the largest group within the institute, and Idiap continues to be recognised as a leading proponent in the field.

The expertise of the group encompasses statistical automatic speech recognition—based on hidden Markov models, or hybrid systems exploiting connectionist approaches—, text-to-speech, and generic audio processing, covering sound source localization, microphone arrays, speaker diarization, audio indexing, very low bit-rate speech coding, and perceptual background noise analysis for telecommunication systems.

Group News

Idiap researchers are Lemanic Life Science Hackathon winners

institute — Jun 05, 2024

Tilak Purohit and Barbara Ruvolo, contributing to Idiap’s AI for Life research program, won the 1st prize at the Lemanic Life Science Hackathon organized at EPFL at the end of April 2024. The team also included EPFL Life Science bachelor's students Alexandra Psaltis, Jia Xian Jennifer Shan, and Elise Boyer Their outcome is an AI-enabled user interface prototype to support the detection of depression via speech.

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.

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Group Job Openings

Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.Our group is regularly posting job openings ranging from internships to researcher positions. To check the opportunities currently available or to submit a speculative applications use the link below.

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