What Are They Doing? Joint Audio-Speech Co-Reasoning

In audio and speech processing, tasks usually focus on either the audio or speech modality, even when both sounds and human speech are present in the same audio clip. Recent Auditory Large Language Models (ALLMs) have made it possible to process audio and speech simultaneously within a single model, leading to further considerations of joint audio-speech tasks.In this paper, we establish a novel benchmark to investigate how well ALLMs can perform joint audio-speech processing. Specifically, we introduce Joint Audio-Speech Co-Reasoning (JASCO), a novel task that unifies audio and speech processing, strictly requiring co-reasoning across both modalities. We also release a scene-reasoning dataset called "What Are They Doing". Additionally, we provide deeper insights into the models’ behaviors by analyzing their dependence on each modality.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889092
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
0.00
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article

What Are They Doing? Joint Audio-Speech Co-Reasoning

Pooneh Mousavi, Mirco Ravanelli, Artem Ploujnikov, Yingzhi Wang
Speech and dialogue systems
article

What Are They Doing? Joint Audio-Speech Co-Reasoning

Pooneh Mousavi, Mirco Ravanelli, Artem Ploujnikov, Yingzhi Wang
article en

Abstract

In audio and speech processing, tasks usually focus on either the audio or speech modality, even when both sounds and human speech are present in the same audio clip. Recent Auditory Large Language Models (ALLMs) have made it possible to process audio and speech simultaneously within a single model, leading to further considerations of joint audio-speech tasks.In this paper, we establish a novel benchmark to investigate how well ALLMs can perform joint audio-speech processing. Specifically, we introduce Joint Audio-Speech Co-Reasoning (JASCO), a novel task that unifies audio and speech processing, strictly requiring co-reasoning across both modalities. We also release a scene-reasoning dataset called "What Are They Doing". Additionally, we provide deeper insights into the models’ behaviors by analyzing their dependence on each modality.

Riyadh Elm University (SA), Mila - Quebec Artificial Intelligence Institute (CA), Concordia University (CA)
Openalex Percentile: Top 98%
Speech and dialogue systems
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