Lora-Svc

Visit Tool

lora-svc is an Audio & Music tool for singing voice conversion and cloning. It leverages Whisper and neural source-filter BigVGAN for high-quality voice modification.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is lora-svc?

lora-svc is an open-source tool designed for singing voice conversion and cloning, built upon the powerful OpenAI Whisper for content encoding and Nvidia's BigVGAN for speech generation. It also incorporates Microsoft's adapter for efficient fine-tuning, though the full LoRA implementation is noted as being available elsewhere. This tool allows users to change singing voices and create voice clones, providing a robust framework for audio manipulation. It includes detailed steps for data preparation, dependency installation, data preprocessing, training, and inference, making it suitable for users interested in advanced voice synthesis and modification techniques.

Best used for

Ideal for content creators and musicians who need to transform vocal performances, clone specific singing voices, and experiment with advanced audio synthesis. Especially valuable for those looking to leverage open-source AI models like Whisper and BigVGAN for creative voice manipulation projects.

Common actions

convert singing voice

clone voice

generate speech

fine-tune voice models

deepfakecollaborationlow-code/no-codeopen-sourceworkflowsautomated workflow"AI Agents"face swappinggithub copilot

Capabilities

Key features

Singing voice conversion
Voice cloning
Whisper content encoding
BigVGAN speech generation
Adapter for fine-tuning
Data preprocessing scripts
GUI for inference

Target Audience

content creatormusician

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI models does lora-svc utilize for voice conversion?

lora-svc leverages OpenAI's Whisper for content encoding, Nvidia's BigVGAN for anti-aliasing speech generation, and Microsoft's adapter for high-efficiency fine-tuning. These three models form the core technology behind its singing voice conversion capabilities.

Is the LoRA implementation fully integrated into this project?

The project description states that LoRA is not fully implemented within this specific lora-svc project. However, it mentions that a separate LoRA TTS & paper can be found elsewhere, suggesting it's an external resource for further exploration.

What are the main steps involved in using lora-svc for voice conversion?

The process involves dataset preparation (accompaniment separation, audio cutting), installing dependencies, downloading pre-trained models, data preprocessing (resampling, extracting pitch, ppg, and timbre), training the model, and finally, performing inference to generate the converted voice.

Trending

Subcategories trending in Content & Design

Image Generation AI Writing Assistants Video Generation Photo Editing Graphic Design Video Editing

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce