coqui_tts_fine-tuned – AI Model by VianLB | AlphaNeural AI

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VianLB/
coqui_tts_fine-tuned

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XTTS v2 Fine-tuned Voice Model

This is a fine-tuned XTTS v2 model trained for voice cloning.

Model Details

Base Model: XTTS v2 (Coqui TTS)
Training: 400 epochs
Loss Improvement: 57% reduction (2.863 → 1.231)
Languages: English & French
Sample Rate: 24kHz

Files

best_model.pth - Fine-tuned GPT model weights
config.json - Model configuration
vocab.json - Tokenizer vocabulary
dvae.pth - Discrete VAE for audio encoding
mel_stats.pth - Mel-spectrogram normalization stats
reference.wav - Voice reference sample

Usage

python

from TTS.api import TTS

# Load the model
tts = TTS(model_path="path/to/model/folder", config_path="path/to/config.json")

# Generate speech
tts.tts_to_file(
    text="Your text here",
    file_path="output.wav",
    speaker_wav="reference.wav",
    language="en"
)

Requirements

TTS>=0.22.0
torch>=2.0.0
torchaudio

Training Details

Dataset: Custom voice recordings
Training Duration: ~50 hours total
Batch Size: 2
Gradient Accumulation: 126 steps
Optimizer: AdamW

Limitations

Optimized for the specific voice in the training data
Best performance on texts similar to training distribution
May have reduced quality on very long texts

License

Apache 2.0