ga642381/FastSpeech2
Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech :fist:
This project helps create high-quality, natural-sounding speech from written text, often for applications like audiobooks or virtual assistants. You provide text and, optionally, existing audio recordings from a speaker, and it generates spoken audio in that voice. This is ideal for content creators, audiobook producers, or anyone needing to generate speech in a consistent voice from various text inputs.
No commits in the last 6 months.
Use this if you need to convert large amounts of text into speech, especially if you want to use multiple different voices or replicate a specific speaker's voice.
Not ideal if you're looking for a simple, ready-to-use text-to-speech API without needing to train a custom model or manage the underlying infrastructure.
Stars
99
Forks
19
Language
Python
License
—
Category
Last pushed
Oct 14, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/ga642381/FastSpeech2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TensorSpeech/TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for...
lucasnewman/nanospeech
A simple, hackable text-to-speech system in PyTorch and MLX
Tomiinek/Multilingual_Text_to_Speech
An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing,...
keonlee9420/STYLER
Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech...
jxzhanggg/nonparaSeq2seqVC_code
Implementation code of non-parallel sequence-to-sequence VC