wavegrad VS voice100

Compare wavegrad vs voice100 and see what are their differences.

wavegrad

A fast, high-quality neural vocoder. (by lmnt-com)
Machine Learning neural-network speech-synthesis text-to-speech wavegrad Paper Pytorch Vocoder Speech pretrained-models Tts Deep Learning
Source Code
Suggest alternative
Edit details

voice100

Voice100 includes neural TTS/ASR models. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without autoregression. (by kaiidams)
Tts speech-synthesis text-to-speech Pytorch Asr speech-recognition Speech Onnx
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
wavegrad voice100
1 1
266 25
0.8% -
1.8 4.9
10 months ago 6 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

wavegrad

Posts with mentions or reviews of wavegrad. We have used some of these posts to build our list of alternatives and similar projects.

voice100

Posts with mentions or reviews of voice100. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-09.
  • Voice-cloning library for conlangs?
    3 projects | /r/conlangs | 9 Nov 2021
    If you would like to use your romanization, yes, first you have to have some way to perform grapheme-to-phoneme transcription. I dug for a bit and found something that looks pretty basic, where you can easily write your own phonemizer: https://github.com/kaiidams/voice100. Not sure how good this model is, as it's made to be working on small devices, but you may play with it.

What are some alternatives?

When comparing wavegrad and voice100 you can also consider the following projects:

hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

diffwave - DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

WaveRNN - WaveRNN Vocoder + TTS

TensorFlowTTS - :stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

tts-tortoise-gradio - A Gradio setup for Tortoise TTS.

tts-generation-webui - TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)

wavegrad vs hifi-gan voice100 vs FastSpeech2 wavegrad vs diffwave voice100 vs Real-Time-Voice-Cloning wavegrad vs WaveRNN voice100 vs WaveRNN wavegrad vs TensorFlowTTS voice100 vs hifi-gan wavegrad vs tts-tortoise-gradio voice100 vs TensorFlowTTS wavegrad vs tts-generation-webui voice100 vs tts-tortoise-gradio