Amphion VS vall-e

Compare Amphion vs vall-e and see what are their differences.

Amphion

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development. (by open-mmlab)

vall-e

An unofficial PyTorch implementation of the audio LM VALL-E (by enhuiz)
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Amphion vall-e
4 3
3,956 2,875
6.1% -
8.6 0.0
6 days ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Amphion

Posts with mentions or reviews of Amphion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-11.

vall-e

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

What are some alternatives?

When comparing Amphion and vall-e you can also consider the following projects:

VALL-E-X - An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices

canopy - Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

WaveRNN - WaveRNN Vocoder + TTS

furnace - a multi-system chiptune tracker compatible with DefleMask modules

vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!

RadioTTS - RadioTTS lets you generate audio tracks with TTS introductions, directly from their file names!

Gooey - Turn (almost) any Python command line program into a full GUI application with one line

TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

table-transformer - Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.