Papers with audio language model

2 papers
Scaling Rich Style-Prompted Text-to-Speech Datasets (2025.emnlp-main)

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Challenge: Existing datasets that only cover basic tags are limited in their scale or coverage of style tags.
Approach: They propose a large-scale dataset that annotates speech utterances with rich style captions.
Outcome: The proposed dataset scales speech utterances with rich style captions for the first time.
Speak No Evil, Just Prompt: Low-resource Multilingual Toxic Speech Detection with Audio Language Model (2026.findings-acl)

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Challenge: Existing methods for toxic speech detection rely on high-resource languages and lack acoustic cues.
Approach: They propose a prompt-based adaptation framework that performs end-to-end toxicity detection without ASR.
Outcome: The proposed framework achieves a micro-averaged ROC-AUC of 98.07% on polySpeechTox . it is based on a frozen audio language model and can perform end-to-end toxicity detection without ASR .

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