NATSpeech/NATSpeech

Health v2 · maintenance only

Adoption not part of the score

1004 stars · 99 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch framework for non-autoregressive text-to-speech (NAR-TTS), containing official implementations of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022). It provides data processing with Montreal Forced Aligner, training, and inference pipelines.

Use cases

• synthesize speech from text with a non-autoregressive TTS model
• train a PortaSpeech text-to-speech model
• run DiffSinger singing voice synthesis
• reproduce NeurIPS/AAAI TTS paper results
• build a custom TTS training pipeline in PyTorch
• use pretrained TTS models from Hugging Face

When to choose

• you need official implementations of PortaSpeech or DiffSpeech for research
• you want a trainable non-autoregressive TTS framework in PyTorch
• you need forced-alignment-based data prep for TTS

When to avoid

• you need a production-ready, actively maintained TTS system
• you want autoregressive or latest large-scale TTS models
• you need Windows or macOS support without extra setup

Facets

framework · maturity maintenance

tts machine-learning deep-learning audio-processing speech-processing machine-learning deep-learning python text-to-speech non-autoregressive pytorch diffusion portaspeech diffspeech speech-synthesis research-code audio linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="NATSpeech/NATSpeech")