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title: "Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts — Stuff That Spins"
description: "arXiv:2607.06611v1 Announce Type: new Abstract: Automatically recognizing the sentiment, positive or negative, from speech is a challenging task, requiring bot…"
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date: "2026-07-09T04:00:00+00:00"
modified: "2026-07-09T06:03:45.617598+00:00"
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# Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts

**Source:** Unknown  
**Published:** July 9, 2026  
**Original:** https://arxiv.org/abs/2607.06611  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.06611v1 Announce Type: new Abstract: Automatically recognizing the sentiment, positive or negative, from speech is a challenging task, requiring both the analysis of vocal inflections and the interpretation of uttered words. Recent solutions rely on audio foundation models to solve the task, but it remains unclear if such models can take all aspects into account. To this end, we propose a multimodal solution that integrates audio and text information via cross-modal transformers, wher

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