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Idiap at INTERSPEECH 2021

(August 30 - September 3, 2021, Brno, Czech Republic)

Revisiting autoencoders for speech representation learning

“The deep artificial neural networks are inspired from the hierarchical structure of the human brain. Therefore, questioning the neural networks to learn ...

Controllability and Interpretability in Affective Speech Synthesis

In his research work, Idiap student, Bastian Schnell believes that affective TTS can be enabled with models which generalise better to the variability in ...

CSI TV series could help further steps towards AI based investigations

Coordinated by Idiap, the Roxanne project aims to introduce AI technologies for law enforcement agencies. A few days ago, criminal investigation TV series were ...

A year to reinforce ties between Idiap and Mexico

Full time professor in Mexico, Esaú Villatoro is on sabbatical year at Idiap. He aims to develop a project in the Natural Language Understanding field with ...

Police forces plan to use artificial intelligence to speed up their investigations

Coordinated by the Idiap Research Institute, the European project Roxanne gathers a large variety of national and international police forces, including ...

Idiap Speaker Identification Integrated Project 'SIIP' highlighted on IEEE the world's largest technical professional organization for the advancement of technology

Interpol’s New Software Will Recognize Criminals by Their Voices

3 promotions to Senior Researcher at Idiap

Following a very strict evaluation process – comprising the nomination by Idiap's management and a formal approval by the Scientific College - , Idiap is ...

SIIP - Speaker Identification Integrated Project passes final field test

LYON, France – In its final field test, the Speaker Identification Integrated Project (SiiP) successfully demonstrated the system’s innovative capabilities as ...

On August 10, 2017, Marzieh Razavi successfully defended her PhD thesis entitled "On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development".

The work described in this thesis takes place in the context of data-driven integration of linguistic knowledge and acoustic information for the pronunciation ...