yerfor/SyntaSpeech
SyntaSpeech: Syntax-aware Generative Adversarial Text-to-Speech; IJCAI 2022; Official code
This tool helps content creators, educators, or anyone needing to convert written text into natural-sounding speech. You provide written sentences or paragraphs, and it generates high-quality audio that captures the natural rhythm and intonation of human speech. This is ideal for generating voiceovers, audiobooks, or educational content without needing a human voice actor.
203 stars. No commits in the last 6 months.
Use this if you need to transform written scripts into expressive, human-like voice recordings, especially for English or Chinese content.
Not ideal if you need a simple, quick text-to-speech conversion for personal use without setting up a development environment.
Stars
203
Forks
31
Language
Python
License
MIT
Category
Last pushed
Sep 04, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/yerfor/SyntaSpeech"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kan-bayashi/ParallelWaveGAN
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
fatchord/WaveRNN
WaveRNN Vocoder + TTS
shangeth/wavencoder
WavEncoder is a Python library for encoding audio signals, transforms for audio augmentation,...
rishikksh20/iSTFTNet-pytorch
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier...
seungwonpark/melgan
MelGAN vocoder (compatible with NVIDIA/tacotron2)