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Grant: Alliance Grants

Université de Sherbrooke

$310,000.00

Speech and audio coding for immersive interactions

EF 2024-25

Résumé
The advent of high-speed, ultra-low latency 5G wireless networks will foster the emergence of new, varied, and more natural forms of interactions providing the "being there, here" kind of experience. However, existing speech and audio coding standards do not yet enable the required ultra-low latency while maintaining a high subjective audio quality, a low bit rate and a manageable complexity. Furthermore, to constitute an appealing proposal for application developers and service providers, next generation speech and audio coding standards should provide additional benefits such as the ability to manipulate the encoded information for various purposes: speaker or audio object identification, audio content transformation, and even mapping to and from other modalities such as text, image, and video. The main goal of this project is therefore to develop a new generation of very low latency speech and audio coding tools and solutions for immersive interactions. This project will produce innovations in two main axes: 1) efficient ultra-low latency speech and audio compression and 2) high level feature analysis and synthesis. A large part of the project will expand on current machine learning tools and neural network architectures, including bio-inspired signal processing and spiking neural networks. A baseline ultra-low latency speech and audio codec will also be studied and developed by exploring the application of predictive and adaptive quantization to the statistics of micro-frames a few audio samples in duration. This project is important to Canada and its economy because of the huge contribution which can be made to several areas including live and streamed presentations of sports and cultural events, mobile communications, gaming, virtual and augmented reality. As an industrial partner, VoiceAge has already demonstrated the huge impact it can have by licencing technologies positioned in many worldwide standards in speech and audio compression. Ultimately, this project will allow Canada to remain a world leader in the field of speech and audio compression for a wider range of applications.
Programme
Alliance Grants
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
586315-2023
Name nom
Gournay, Philippe P
Department département
Génie électrique et génie informatique
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
310000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2513
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Data communications
Research subject fr
Transmission des données
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Speech and audio coding for immersive interactions
Keywords
immersive technologies; interactive technologies; low bitrate; low complexity; low latency; machine learning and neural networks; neuromorphic computing; speech and audio coding
Application summary
The advent of high-speed, ultra-low latency 5G wireless networks will foster the emergence of new, varied, and more natural forms of interactions providing the "being there, here" kind of experience. However, existing speech and audio coding standards do not yet enable the required ultra-low latency while maintaining a high subjective audio quality, a low bit rate and a manageable complexity. Furthermore, to constitute an appealing proposal for application developers and service providers, next generation speech and audio coding standards should provide additional benefits such as the ability to manipulate the encoded information for various purposes: speaker or audio object identification, audio content transformation, and even mapping to and from other modalities such as text, image, and video. The main goal of this project is therefore to develop a new generation of very low latency speech and audio coding tools and solutions for immersive interactions. This project will produce innovations in two main axes: 1) efficient ultra-low latency speech and audio compression and 2) high level feature analysis and synthesis. A large part of the project will expand on current machine learning tools and neural network architectures, including bio-inspired signal processing and spiking neural networks. A baseline ultra-low latency speech and audio codec will also be studied and developed by exploring the application of predictive and adaptive quantization to the statistics of micro-frames a few audio samples in duration. This project is important to Canada and its economy because of the huge contribution which can be made to several areas including live and streamed presentations of sports and cultural events, mobile communications, gaming, virtual and augmented reality. As an industrial partner, VoiceAge has already demonstrated the huge impact it can have by licencing technologies positioned in many worldwide standards in speech and audio compression. Ultimately, this project will allow Canada to remain a world leader in the field of speech and audio compression for a wider range of applications.