RusTTS

RusTTS is an unofficial Coqui TTS implementation.

Currently, only the YourTTS for VC has been implemented.

So, feel free to contribute us to make it better.

Milestones

YourTTS + TTS
YourTTS + VC

Import from Pretrained Models

Currently, only the YourTTS for VC has been implemented.

YourTTS + VC

import os
import torch

# Create a model directory
os.makedirs('assets/', exist_ok=True)

# Load the pretrained models & variables
# NOTE: use the variables from `YourTTS_zeroshot_VC_demo.ipynb`
# NOTE: https://github.com/edresson/yourtts#colab-demos
SE_speaker_manager = ...
model = ...

driving_spec = ...
y_lengths = ...
driving_emb = ...
target_emb = ...

# Convert the pretrained model of speaker_encoder
# NOTE: Please mark ResNetSpeakerEncoder::l2_norm => true
model_speaker_encoder = torch.jit.trace(
    SE_speaker_manager.speaker_encoder,
    torch.randn(1, 129150),  # dummy
)
model_speaker_encoder.save('assets/speaker_encoder.pt')

# Convert the pretrained model of Vits (YourTTS)
class VoiceConversion(nn.Module):
    def __init__(self, model):
        super().__init__()
        self.model = model
        
    def forward(self, *args):
        return self.model.voice_conversion(*args)

model_voice_conversion = VoiceConversion(model)
model_voice_conversion = torch.jit.trace(
    model_voice_conversion,
    (driving_spec, y_lengths, driving_emb, target_emb,),  # maybe dummy
)
model_voice_conversion.save('assets/vits.pt')

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Comments

Running the example uses up all available memory until killed by the system

Hi, when I try to run the example (cargo run --example tts -- "Hello Mr. my yesterday"), the process eats up all available memory on my system (~10 GB) and then is killed by system. Is this a bug or do I just don’t have enough RAM? :) I’m on Arch Linux, kernel version 5.16.11, Rust 1.59.

opened by knochenhans 4
Question about usage

well this might be a stupid question but why do I get a male voice when I replace the english woman's samples with the one from Coqui TTS - Double Decoder Consistency v2 Samples. just the samples downloaded from the sample page here https://erogol.github.io/ddc-samples/

:)

opened by The-Mr-L 14