---
language:
- ta
metrics:
- wer
pipeline_tag: automatic-speech-recognition
library_name: adapter-transformers
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This model is a fine-tuned version of XLS-R on Tamil speech data from Tamil Vulnerable Speech Recognition.
## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->


- **Model type:** [Transfoemr based model]
- **Language(s) :** [Tamil]
- **Finetuned from model [optional]:** [XLS-R]

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Thw model is used to perform speech-to-text in Tamil.
### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

[More Information Needed]

### Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

Tammil Speech Recogniton


## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
Tamil vulnerable speech dataset.


#### Preprocessing [optional]

All the .wav files are resampled to 16000 Hz and Log-Mel Spectrogram is extracted