Spectrum VS Speech_driven_gesture_generation_with_autoencoder

Compare Spectrum vs Speech_driven_gesture_generation_with_autoencoder and see what are their differences.

Speech_driven_gesture_generation_with_autoencoder

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation". (by GestureGeneration)
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Spectrum Speech_driven_gesture_generation_with_autoencoder
2 4
44 103
- 1.0%
0.0 0.0
over 3 years ago 10 months ago
Python Python
MIT License Apache License 2.0
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Spectrum

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

Speech_driven_gesture_generation_with_autoencoder

Posts with mentions or reviews of Speech_driven_gesture_generation_with_autoencoder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-08.

What are some alternatives?

When comparing Spectrum and Speech_driven_gesture_generation_with_autoencoder you can also consider the following projects:

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Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs

AMRBART - Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

ydata-synthetic - Synthetic data generators for tabular and time-series data

Advanced-Deep-Learning-with-Keras - Advanced Deep Learning with Keras, published by Packt

RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.