From the 3 of 10 papers with an AI index.
7 citations
- Korea Advanced Institute of Science and TechnologyKR2 papers
- Sony Computer Science LaboratoriesJP2 papers
- Bang & Olufsen (Denmark)DK1 paper
- Bavarian Academy of Sciences and HumanitiesDE1 paper
- Chinese Academy of SciencesCN1 paper
- Hebei University of TechnologyCN1 paper
- IE UniversityES1 paper
- Imperial College LondonGB1 paper
- Ningbo Institute of Industrial TechnologyCN1 paper
- Oticon Medical (Denmark)DK1 paper
- Sony (France)FR1 paper
- Technical University of MunichDE1 paper
10 papers
Learning a Decentralized Medium Access Control Protocol for Shared Message Transmission
Lorenzo Mario Amorosa, Zhan Gao, Roberto Verdone +2
The paper proposes a decentralized learning framework that lets IoT nodes coordinate transmission of shared messages without inter-node communication, using deterministic strategie…
Insights on Harmonic Tones from a Generative Music Experiment
Emmanuel Deruty, Maarten Grachten
The paper reports a studio‑lab experiment where an AI model generating bass‑like audio produced harmonic complex tones that convey multiple pitches, revealing that the model can cr…
The evolution of inharmonicity and noisiness in contemporary popular music
Emmanuel Deruty, David Meredith, Stefan Lattner
The paper analyzes how inharmonicity and noise levels in popular music have changed from 1961 to 2020 using modified MPEG‑7 audio features, comparing these trends to classical and…
Carrier-Assisted Entanglement Purification
Jaemin Kim, Karthik Mohan, Sung Won Yun +1
Entanglement distillation, a fundamental building block of quantum networks, enables the purification of noisy entangled states shared among distant nodes by local operations and c…
Ranking the Impact of Contextual Specialization in Neural Speech Enhancement
Peter Leer, Svend Feldt, Zheng-Hua Tan +2
We systematically investigate neural speech enhancement systems, ranging from very small (10\,k parameters) to medium-large (2-5\,M parameters), which specialize to aco…
One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization
Ioannis Stylianou, Jon Francombe, Pablo Martinez-Nuevo +2
Conventional audio equalization is a static process that requires manual and cumbersome adjustments to adapt to changing listening contexts (e.g., mood, location, or social setting…