eess.AS · 2026-09-21 · No. 120

Audio and Speech Processing, 2026-09-21.

2 new papers in eess.AS. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Samsone: A Family of Open Small Audio Language Models for On-Device Inference

    Piotr Masztalski, Michał K. Grzeszczyk, Olaf Sikorski

    eess.AS · cs.AI

    The success of Large Audio Language Models has driven the development of massive multimodal networks exceeding billions of parameters. However, the demand for privacy-preserving, low-latency processing has shifted focus toward Small Audio Language Models (SALMs) capable of on-device execution. In this paper, we introduce Samsone, a family of SALMs designed for edge computing. Our core model, Samsone-134M, establishes a new state-of-the-art...

    arxiv.org/abs/2609.21666 · PDF

  2. 02

    OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

    Haolin He, Yunfei Chu, Qi Chen, Wen Huang, Yuan Feng, Muzhi Zhu, Zheqi Dai, Haoning Xu, Dongchao Yang, Chunyat Wu,...

    eess.AS · cs.AI · eess.IV

    We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return text. The user's query is embedded in the audio and video, without a separate text question, external captioning, or speech recognition. Direct audio-visual input reduces external latency and computation while preserving...

    arxiv.org/abs/2609.21465 · PDF

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