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- W4319862466 abstract "Speech emotion recognition (SER) classifies audio into emotion categories such as Happy, Angry, Fear, Disgust and Neutral. While Speech Emotion Recognition (SER) is a common application for popular languages, it continues to be a problem for low-resourced languages, i.e., languages with no pre-trained speech-to-text recognition models. This paper firstly proposes a language-specific model that extract emotional information from multiple pre-trained speech models, and then designs a multi-domain model that simultaneously performs SER for various languages. Our multi-domain model employs a multi-gating mechanism to generate unique weighted feature combination for each language, and also searches for specific neural network structure for each language through a neural architecture search module. In addition, we introduce a contrastive auxiliary loss to build more separable rep-resentations for audio data. Our experiments show that our model raises the state-of-the-art accuracy by 3% for German and 14.3% for French." @default.
- W4319862466 created "2023-02-11" @default.
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- W4319862466 date "2023-01-09" @default.
- W4319862466 modified "2023-09-26" @default.
- W4319862466 title "Multilingual Speech Emotion Recognition with Multi-Gating Mechanism and Neural Architecture Search" @default.
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- W4319862466 doi "https://doi.org/10.1109/slt54892.2023.10022557" @default.
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