firdhokk/speech-emotion-recognition-with-facebook-wav2vec2-large-xlsr-53

Audio Classification·firdhokk· 1.8K

transformers apache-2.0 Audio Classification 315.7M params base_model:facebook/wav2vec2-large-xlsr-53base_model:finetune:facebook/wav2vec2-large-xlsr-53license:apache-2.0region:us

🎧 Speech Emotion Recognition with Wav2Vec2 This project leverages the Wav2Vec2 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-facebook-wav2vec2-large-xlsr-53

Model details

Task

Audio Classification

Provider

firdhokk

Framework

transformers

Parameters

315.7M

Size

47 GB

License

apache-2.0

Downloads

1.8K

Updated

2024-12-15

About firdhokk/speech-emotion-recognition-with-facebook-wav2vec2-large-xlsr-53

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