---
license: cc-by-nc-4.0
language:
- en
base_model:
- facebook/mms-tts
pipeline_tag: text-to-speech
library_name: transformers
---
# MMS English Male

This model is trained using **IndicTTS dataset** with Hindi male speaker.

## Model

**mms-english-male-indic**: **English model with Hindi male speaker** from the IndicTTS dataset.

## Sample Examples

| Text | Synthesized Audio |
|------------|------------|
| They decided to take a short break from work and travel to the mountains. | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-english-male-indic/english_example_1.wav"></audio> |
| I think that movie had a very unexpected and thrilling ending. | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-english-male-indic/english_example_2.wav"></audio> |
| It's always a good idea to double-check your work before submitting it. | <audio controls src="https://huggingface.co/datasets/onecxi/cxi-sample-data/resolve/main/tts-examples/mms-english-male-indic/english_example_3.wav"></audio> |

## Inference

To use these models for inference, you'll need to install the `transformers` and `accelerate` libraries.

First, install the necessary libraries:

```
pip install --upgrade transformers accelerate
```

Then, run inference with the following code-snippet:

```python
from transformers import VitsModel, AutoTokenizer
import torch
from IPython.display import Audio

model_path = "onecxi/mms-english-male-indic" # This is the path to your fine-tuned model
model = VitsModel.from_pretrained(model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path)

text = "This is an English model trained using a Hindi male speaker."
inputs = tokenizer(text, return_tensors="pt")

with torch.no_grad():
    output = model(**inputs).waveform

Audio(output.numpy(), rate=model.config.sampling_rate)
```

## Disclaimer

This Text-to-Speech (TTS) model is intended solely for research and educational use. Any use of the model must comply with all applicable laws, regulations, and ethical standards. The unauthorized use of this model for impersonating real individuals without their explicit consent is strictly prohibited. 
Additionally, the model must not be used to create or distribute deceptive, misleading, or fraudulent content, including but not limited to fake news or scams. Any use of the model for illegal, harmful, or malicious purposes is expressly forbidden. 

By using this model, you acknowledge and agree to these terms. The creators and distributors of the model disclaim any liability for misuse and do not support or condone unethical or unlawful applications.