rishikksh20/melgan
MelGAN implementation with Multi-Band and Full Band supports...
This project helps audio engineers and researchers synthesize high-quality speech from mel spectrograms. It takes preprocessed audio features (mel spectrograms) as input and generates realistic-sounding speech as output. Anyone working on speech synthesis, voice assistants, or text-to-speech systems would find this useful.
No commits in the last 6 months.
Use this if you need to convert mel spectrograms into natural-sounding audio waveforms for speech synthesis tasks.
Not ideal if you are looking for a tool to analyze audio, transcribe speech, or perform general audio processing unrelated to speech synthesis.
Stars
62
Forks
17
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Aug 27, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/rishikksh20/melgan"
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)