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---
library_name: transformers
tags:
- text-to-speech
license: mit
datasets:
- sidfeels/transatlantic_accent_tts_dataset
language:
- en
base_model:
- parler-tts/parler-tts-mini-v1
---
# Parler TTS Mini - Transatlantic Accent Fine-tune
## Model Description
This model is a fine-tuned version of the Parler TTS Mini, specifically trained to produce a transatlantic accent. It was trained on approximately 3 hours of custom data to achieve this unique voice characteristic.
### Base Model
- **Name**: Parler TTS Mini
- **Version**: v1
- **Original Source**: [parler-tts/parler-tts-mini-v1](https://huggingface.co/parler-tts/parler-tts-mini-v1)
### Fine-tuned Model Details
- **Accent**: Transatlantic
- **Training Data**: ~3 hours of custom audio
- **Purpose**: To generate text-to-speech audio with a distinct transatlantic accent
## Usage
To use this model, you'll need to have the `parler_tts` library installed. Here's a basic example of how to generate audio with this model:
```python
from parler_tts import ParlerTTSForConditionalGeneration
from transformers import AutoTokenizer
import torch
# Load the model and tokenizer
model = ParlerTTSForConditionalGeneration.from_pretrained("your-model-name")
tokenizer = AutoTokenizer.from_pretrained("your-model-name")
# Prepare input
text = "This is a test of the transatlantic accent."
description = "An older man's voice with a transatlantic accent, speaking calmly and deliberately."
# Generate audio
inputs = tokenizer(description, return_tensors="pt")
prompt = tokenizer(text, return_tensors="pt")
with torch.no_grad():
output = model.generate(
input_ids=inputs.input_ids,
prompt_input_ids=prompt.input_ids,
do_sample=True
)
```
## Colab Link for Quick Testing
You can easily experiment with this fine-tuned Parler TTS Mini model using our interactive Google Colab notebook.
To get started:
1. Click on the link below to open the Colab notebook:
[](https://colab.research.google.com/drive/1Ijz23gOcDoTL4LOw5xsgSGSm24jdZQGU?usp=sharing)
2. Clone the Notebook. then run each cell.
3. Experiment with different text inputs and voice descriptions to explore the capabilities of the transatlantic accent model.
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