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arXiv · 2310.11830

CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition

Kari A Noriy·Xiaosong Yang·Marcin Budka·Jian Jun Zhang
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Abstract

Multilingual speech processing requires understanding emotions, a task made difficult by limited labelled data. CLARA, minimizes reliance on labelled data, enhancing generalization across languages. It excels at fostering shared representations, aiding cross-lingual transfer of speech and emotions, even with little data. Our approach adeptly captures emotional nuances in speech, overcoming subjective assessment issues. Using a large multilingual audio corpus and self-supervised learning, CLARA develops speech representations enriched with emotions, advancing emotion-aware multilingual speech processing. Our method expands the data range using data augmentation, textual embedding for visual understanding, and transfers knowledge from high- to low-resource languages. CLARA demonstrates excellent performance in emotion recognition, language comprehension, and audio benchmarks, excelling in zero-shot and few-shot learning. It adapts to low-resource languages, marking progress in multilingual speech representation learning.

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BibTeXRIS

Kari A Noriy, Xiaosong Yang, Marcin Budka, Jian Jun Zhang. 2023-10-18. CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition. https://arxiv.org/abs/2310.11830

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