Aniemore/wav2vec2-xlsr-53-russian-emotion-recognition

Audio Classification·Aniemore· 7.1K· 16

transformers mit Audio Classification 316.5M params

python import torch import torch.nn as nn import torch.nn.functional as F import torchaudio from transformers import AutoConfig, AutoModel, Wav2Vec2FeatureExtractor

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# pull & run locally
pip install mlforge-sdk && mlforge pull Aniemore/wav2vec2-xlsr-53-russian-emotion-recognition

Model details

Task

Audio Classification

Provider

Aniemore

Framework

transformers

Parameters

316.5M

Size

4.7 GB

License

mit

Downloads

7.1K

Likes

Updated

2024-12-05

About Aniemore/wav2vec2-xlsr-53-russian-emotion-recognition

precision recall f1-score support ---------------------------------------------------- anger 0.97 0.86 0.92 44 disgust 0.71 0.78 0.74 37 enthusiasm 0.51 0.80 0.62 40 fear 0.80 0.62 0.70 45 happiness 0.66 0.70 0.68 44 neutral 0.81 0.66 0.72 38 sadness 0.79 0.59 0.68 32 accuracy 0.72 280 macro avg 0.75 0.72 0.72 280 weighted avg 0.75 0.72 0.73 280

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