NATSpeech

Visit Tool

NATSpeech is an open-source Text-to-Speech (TTS) framework that provides official PyTorch implementations of PortaSpeech and DiffSpeech. It enables researchers and developers to build non-autoregressive speech synthesis models.

Claim this tool

2Views

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is NATSpeech?

NATSpeech is a comprehensive open-source framework for Non-Autoregressive Text-to-Speech (NAR-TTS) research and development. It offers official PyTorch implementations of advanced models like PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022), facilitating high-quality and portable speech generation. The framework includes robust features such as data processing for NAR-TTS using Montreal Forced Aligner, a scalable training and inference system, and an efficient random-access dataset implementation. It's designed for technical users who want to explore and build upon state-of-the-art speech synthesis technologies, providing the necessary tools and code for experimentation and deployment.

Best used for

Ideal for researchers and developers who need to implement and experiment with state-of-the-art non-autoregressive text-to-speech models. Especially valuable for those looking to build custom speech synthesis applications or conduct academic research in the field of voice generation.

Common actions

synthesize speech

develop TTS models

research speech generation

implement deep learning models

face swappinggithub copilot"AI Agents"open-sourceautomated workflowdeepfakecollaborationlow-code/no-codeworkflows

Capabilities

Key features

Non-autoregressive TTS framework
PortaSpeech PyTorch implementation
DiffSpeech PyTorch implementation
Data processing for TTS
Scalable training/inference
Random-access dataset

Target Audience

ai researchersmachine learning engineersspeech synthesis developersacademics

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What specific models are implemented in NATSpeech?

NATSpeech provides official PyTorch implementations of PortaSpeech, a portable and high-quality generative text-to-speech model, and DiffSpeech (DiffSinger), which focuses on singing voice synthesis via a shallow diffusion mechanism. These are key components of the framework.

What are the primary technical requirements to use NATSpeech?

To use NATSpeech, you'll need Python 3.6+ (Anaconda recommended), PyTorch (version 1.9.0 or higher is suggested), and various Python packages listed in the requirements.txt. It also requires the Montreal Forced Aligner for data processing and SoX for audio manipulation.

Can NATSpeech be used for commercial projects?

NATSpeech is released under the MIT license, which generally permits commercial use. However, the license explicitly prohibits using the technology to generate someone's speech without consent, particularly for government leaders, political figures, and celebrities, to avoid copyright violations.

Trending

Subcategories trending in Content & Design

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

Trending

Also listed in

This tool also appears in

Research & Education › Academic Research Coding & Development › Open Source & Models Research & Education › Scientific Computing AI Agents & Automation › Voice Agents

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