Audio Inference

Bayesian inference and learning applied to audio, speech and language.

Vision

We work in the general area of audio processing, but particularly when the audio signal contains speech. Our capabilities are centred around building models of production and perception that allow machines to mimic the capabilities of humans. Our models connect the audio signal with higher level semantics such as speech, language, affect and intent.

We embrace rigorous mathematical and Bayesian techniques to infer model parameters as well as the semantics required by the application. More speculatively, we also use such techniques to allow our models to make inference about the human production, perception and cognitive systems on which they are based.

The group title abbreviates to AI, emphasising a deep connection to the wider Artificial Intelligence field of our host institute. By the audio and speech focus we contribute to Idiap’s core Human-AI Teaming program; by the inference of biological function we aim to also contribute to the AI for Life program. In each case we benefit from colleagues with complementary skills, and hope to assist them in their own endeavours.

Group News

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.

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!

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.

Current Group Members

GARNER, Philip
(Senior Research Scientist)
- website


AKSTINAITE, Vita
(Postdoctoral Researcher)
- website


CHEN, Haolin
(PhD Student / Research Assistant)
- website


HE, Mutian
(PhD Student / Research Assistant)
- website


COPPIETERS DE GIBSON, Louise
(PhD Student / Research Assistant)
- website


Alumni

Please note that this list is not exhaustive.

Current Projects

Recent Projects