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firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3

Audio Classification·firdhokk· 21.2K· 114
transformers apache-2.0 Audio Classification 637.3M params base_model:openai/whisper-large-v3base_model:finetune:openai/whisper-large-v3license:apache-2.0region:us

🎧 Speech Emotion Recognition with Whisper This project leverages the Whisper model to recognize emotions in speech. The goal is to classify audio recordings into different emotional categories, such as Happy, Sad, Surprised, and etc.

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# pull & run locally
pip install mlforge-sdk && mlforge pull firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3

Model details

Task
Audio Classification
Provider
firdhokk
Framework
transformers
Parameters
637.3M
Size
24 GB
License
apache-2.0
Downloads
21.2K
Likes
114
Updated
2025-11-01

About firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3

🎧 Speech Emotion Recognition with Whisper This project leverages the Whisper model to recognize emotions in speech. The goal is to classify audio recordings into different emotional categories, such as Happy, Sad, Surprised, and etc.

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