CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition

• URL: http://arxiv.org/abs/2310.11830v2
• Date: Wed, 1 Nov 2023 11:38:40 GMT
• Title: CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
• Authors: Kari A Noriy, Xiaosong Yang, Marcin Budka and Jian Jun Zhang
• Abstract summary: CLARA minimizes reliance on labelled data, enhancing generalization across languages. Our approach adeptly captures emotional nuances in speech, overcoming subjective assessment issues. It adapts to low-resource languages, marking progress in multilingual speech representation learning.
• Score: 5.520654376217889
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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