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prithivMLmods/Speech-Emotion-Classification

Audio Classification·prithivMLmods· 558· 9
transformers apache-2.0 Audio Classification 94.6M params dataset:stapesai/ssi-speech-emotion-recognitionarxiv:2006.11477

Speech-Emotion-Classification is a fine-tuned version of facebook/wav2vec2-base-960h for multi-class audio classification, specifically trained to detect emotions in speech. This model utilizes the Wav2Vec2ForSequenceClassification architecture to accurately classify speaker emotions from audio signals.

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# pull & run locally
pip install mlforge-sdk && mlforge pull prithivMLmods/Speech-Emotion-Classification

Model details

Task
Audio Classification
Provider
prithivMLmods
Framework
transformers
Parameters
94.6M
Size
3.1 GB
License
apache-2.0
Downloads
558
Likes
9
Paper
arXiv:2006.11477
Updated
2025-06-01

About prithivMLmods/Speech-Emotion-Classification

Speech-Emotion-Classification is a fine-tuned version of facebook/wav2vec2-base-960h for multi-class audio classification, specifically trained to detect emotions in speech. This model utilizes the Wav2Vec2ForSequenceClassification architecture to accurately classify speaker emotions from audio signals.

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