Author

S. Essid

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Dec 2024

TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization

This work introduces a training-free approach that leverages Non-negative Matrix Factorization (NMF) to co-factorize audio and visual features from pre-trained models so as to reveal shared interpretable concepts and establishes state-of-the-art performance in unsupervised sound-prompted segmentation.

Hugo Malard, Michel Olvera, Stéphane Lathuilière et al. · Trans. Mach. Learn. Res. · 1 citation

#artificial intelligence Preprint Sep 2026

NemotronLabs VoiceChat: An Open Full-duplex Speech-to-Speech Model with Tool Calling Capabilities

The results demonstrate that full-duplex interaction, speech recognition and generation, general language capabilities, and external tool use can be integrated in a single open speech-to-speech model without sacrificing real-time conversational behavior.

Jagadeesh Balam, Travis M. Bartley, Edresson Casanova et al. · 2 citations · ⚡1

#natural language process... Preprint Sep 2026

A frontend-backend architecture for tool calls in full-duplex speech models

Backend delegation is an effective and modular approach for combining natural duplex speech interaction with strong agentic tool-call capabilities and significantly outperforms GPT-realtime-mini and Qwen3-Omni-30B-A3B-Instruct on EVA-Bench.

Ke Hu, Slyne Deng, Chen Chen et al. · 3 citations · ⚡2