
### Model Description

This is the model card for a Sound Localisation Model estimating the direction of arrival (DOA) from stational resound sources. The model was trained and evaluated using a SOFA dataset. This model was fine-tuned using the AST Model. (MIT/ast-finetuned-audioset-10-10-0.4593). Developed by Fidelis Odok (University of Hertfordshire)


- **Developed by:** Fidelis Odok
- **Finetuned from model [optional]:** (MIT/ast-finetuned-audioset-10-10-0.4593)
{"language": ["en"], "license": "creativeml-openrail-m", "library_name": "transformers", "datasets": ["FidelOdok/SOFA_DOA_10_deg"], "metrics": ["f1"], "pipeline_tag": "audio-classification"}
transformers pytorch tensorboard audio-spectrogram-transformer audio-classification en dataset:FidelOdok/SOFA_DOA_10_deg license:creativeml-openrail-m endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #audio-spectrogram-transformer #audio-classification #en #dataset-FidelOdok/SOFA_DOA_10_deg #license-creativeml-openrail-m #endpoints_compatible #region-us 


### Model Description

This is the model card for a Sound Localisation Model estimating the direction of arrival (DOA) from stational resound sources. The model was trained and evaluated using a SOFA dataset. This model was fine-tuned using the AST Model. (MIT/ast-finetuned-audioset-10-10-0.4593). Developed by Fidelis Odok (University of Hertfordshire)


- Developed by: Fidelis Odok
- Finetuned from model [optional]: (MIT/ast-finetuned-audioset-10-10-0.4593)
### Model Description

This is the model card for a Sound Localisation Model estimating the direction of arrival (DOA) from stational resound sources. The model was trained and evaluated using a SOFA dataset. This model was fine-tuned using the AST Model. (MIT/ast-finetuned-audioset-10-10-0.4593). Developed by Fidelis Odok (University of Hertfordshire)


- Developed by: Fidelis Odok
- Finetuned from model [optional]: (MIT/ast-finetuned-audioset-10-10-0.4593)
TAGS
#transformers #pytorch #tensorboard #audio-spectrogram-transformer #audio-classification #en #dataset-FidelOdok/SOFA_DOA_10_deg #license-creativeml-openrail-m #endpoints_compatible #region-us 
 ### Model Description

This is the model card for a Sound Localisation Model estimating the direction of arrival (DOA) from stational resound sources. The model was trained and evaluated using a SOFA dataset. This model was fine-tuned using the AST Model. (MIT/ast-finetuned-audioset-10-10-0.4593). Developed by Fidelis Odok (University of Hertfordshire)


- Developed by: Fidelis Odok
- Finetuned from model [optional]: (MIT/ast-finetuned-audioset-10-10-0.4593)