Downloads · 30 days
17
0% of all-time downloads
classla/wav2vec2-large-slavic-voxpopuli-v2_hr_SER
wav2vec2-large-slavic-voxpopuli-v2_hr_SER is a audio classification model from classla. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
This model for Croatian SER (speech emotion recognition) is based on the facebook/wav2vec2-large-slavic-voxpopuli-v2 and was fine-tuned on the CrES 2.1 dataset (Croatian Emotional Speech corpus).
Downloads · 30 days
17
0% of all-time downloads
All-time downloads
3.8K
Public
Repo size
12.6 GB
Likes
0
Public
Click a slice to open those files.
.pt2.5 GB · 66%
From the Hugging Face model README
This model for Croatian SER (speech emotion recognition) is based on the facebook/wav2vec2-large-slavic-voxpopuli-v2 and was fine-tuned on the CrES 2.1 dataset (Croatian Emotional Speech corpus).
If you use this model, please cite the following paper describing the dataset:
@inproceedings{Dropuljić_Chmura_Kolak_Petrinović_2011, title={Emotional speech corpus of Croatian language}, ISSN={1845-5921}, booktitle={2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA)}, author={Dropuljić, Branimir and Chmura, Miłosz Thomasz and Kolak, Antonio and Petrinović, Davor}, year={2011}, month={Sep}, pages={95–100} }
Evaluation is performed on the dev and test portions of the CrES 2.1 dataset. The splitting was performed anew, stratified on emotion and with no leakage (i.e. no speaker is present in more than one split).
| accuracy | macro F1 | split |
|---|---|---|
| 0.6796 | 0.6461 | test |
| 0.7277 | 0.7232 | dev |
Confusion matrix on test:

In fine-tuning, the following arguments were used:
| arg | value |
|---|---|
per_device_train_batch_size | 2 |
per_device_eval_batch_size | 2 |
gradient_accumulation_steps | 2 |
num_train_epochs | 20 |
learning_rate | 1e-4 |