Skip to content

Overview

Project Overview

CHAIS: Crossmodal Human-AI Collaboration for Selective Hearing Assistance

[!note] Project Proposal CHAIS.pdf

The CHAIS project is about developing bio-inspired crossmodal Speech Enhancement algorithms to address the Cocktail Party Problem. This should be showcased in prototypical smart Glasses that support humans during selective hearing tasks. The speech enhancement should utilize mechanisms informed by cognitive speech processing in humans to (1) potentially improve real-time speech enhancement and (2) gain further insights into how these mechanisms improve speech comprehension.

The project is a cooperation between three Project Partners:

Partner Focus
Human-Computer Interaction Develop human-usable assistive glasses, based on user needs and feedback.
Signal Processing Improve AI-based real-time speech enhancement for hearing assistance in humans.
Neuronal Information Processing & Computational Neuroscience Apply and gain insights into cognitive mechanisms in speech processing.

Table of Contents

Knowledge

  • Cocktail Party Problem Problem definition, psychoacoustic basis (PASO), and the phase-locking mechanism underlying binaural unmasking.

Methodology

Orga

  • Project Orga Project partners' expectations, available resources, and contact persons.
  • Reading List Relevant papers for research projects that have not been reviewed yet.

Roadmap

Pasted image 20260408151957.png

Key Milestones

Month Milestone
6 Requirement Analysis (Documentation and Verification)
12 First models of neural architectures for speech processing (Oscillatory and Topology)
12 First evaluations of bio-inspired neural networks
14 Companion App / VR Testbed
18 Early demonstrator of Smart [[Research Glasses|Glasses]]
24 Neural architectures are integrated in crossmodal speech signal processing
30 Summative evaluation of Glasses
36 Final demonstrator and project finalization

The detailed phased research plan (Phase 1–3) lives in Research Plan.