wav2vec2-emotion-recognition is an open model for classifying emotions in speech audio. It is distributed through Hugging Face for developers using Transformers and related local inference workflows.
In the Speech to text space, Wav2vec2 Emotion Recognition takes a focused approach. It focuses on identifying emotional characteristics in speech audio without training an emotion-recognition model from scratch. It is built as an open-source project for machine learning developers. Wav2vec2 Emotion Recognition is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.
It is developed by Dpngtm, and it first shipped in 2026. Key capabilities include emotion classification, audio classification, and wav2Vec2 model.
Summary written by a language model from the project’s public pages.
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