“To understand others implies no only to get their point, but also to understand their feelings and emotions”; Daniel Goleman, Emotional Intelligence.
PARIDA Shantipriya, Idiap Postdoctoral Researcher has been granted to be an invited speaker at the Indo-German SPARC Symposium.
3rd ROXANNE Newsletter
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.
Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration
A first step towards a Julia-based speech recognition toolkit.
You’re never far from an English word in Switzerland
As speech processing expands with diversified tasks, designing novel neural network models capable of learning meaningful speech representations gain importance.
This week Idiap's speech and machine learning group presented their joint work on Fast Transformers with Clustered Attention
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 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.
Roxanne is a EU-funded project that leverages text, speech and video in real-time in order to build tools for combating organized crime.
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.
Organized by the KIIT University, India, this 5 days program involved Idiap speakers.
Coordinated by Idiap, the Roxanne project aims to introduce AI technologies for law enforcement agencies. A few days ago, criminal investigation TV series were among the first data sets used to demonstrate early technologies developed by the project partners.
Edition: April 2020 and September 2020
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 different researchers from the Idiap Research Institute.
Coordinated by the Idiap Research Institute, the European project Roxanne gathers a large variety of national and international police forces, including Interpol, as well as scientists, large industry and private companies. Its aim is to create a computer programme able to help investigators to link various clues and uncover criminal network activities.
Interpol’s New Software Will Recognize Criminals by Their Voices
Following a very strict evaluation process – comprising the nomination by Idiap's management and a formal approval by the Scientific College - , Idiap is pleased to announce the promotion of three of its researchers to Senior Researchers:
LYON, France – In its final field test, the Speaker Identification Integrated Project (SiiP) successfully demonstrated the system’s innovative capabilities as language independent voice recognition system.
The work described in this thesis takes place in the context of data-driven integration of linguistic knowledge and acoustic information for the pronunciation lexicon development.
When speech processing systems are designed for use in multilingual environments, additional complexity is introduced. Identifying when language switching has occurred, predicting how cross-lingual terms will be pronounced, obtaining sufficient speech data from diverse language backgrounds: such factors all complicate the development of practical speech-oriented systems. In this talk, I will discuss our research group's experience in building speech recognition systems for the South African environment, one in which 11 official languages are recognised. I will also show how this relates to our participation in the BABEL project, a recent 5-year international collaborative project aimed at solving the spoken term detection task in under-resourced languages.
The Prof. Marelie Davel will give the talk entitled: Multilingual speech recognition in under-resourced environments
12th of April, 2017 in Prague (ANS CR)
Winner of the IEEE Ganesh N. Ramaswamy Memorial Student Grant:
On March 3rd, 2017, Pierre-Edouard Honnet made the public defense of his PhD thesis entitled "Intonation Modelling for Speech Synthesis and Emphasis Preservation".
In October 2016, National Institute of Standards and Technology (NIST), USA, has organized the Speaker Recognition (SRE) evaluation, as the one of ongoing series of speaker recognition system evaluations conducted by NIST since 1996.
How is it possible for people with bad intentions to get access to data from our smartphone or our GPS?
With regard to devices using voice control, the Swiss German population has so far been left out in the cold. At the best, smartphones, smart TVs and other tools of this kind understand High German, but have no chance when the Swiss German dialect is concerned. But this will change soon.
What is the relation between the language and our mental health?
