Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.

Overview

BigGAN Audio Visualizer

Description

This visualizer explores BigGAN (Brock et al., 2018) latent space by using pitch/tempo of an audio file to generate and interpolate between noise/class vector inputs to the model. Classes are chosen manually or optionally using semantic similarity on BERT encodings of a lyrics corpus.

Usage:

usage: visualize.py [-h] -s SONG [--resolution {128,256,512}] [-d DURATION]
               [-ps [200-295]] [-ts [0.05-0.8]]
               [--classes CLASSES [CLASSES ...]] [-n NUM_CLASSES]
               [--jitter [0-1]] [--frame_length i*2^6] [--truncation [0.1-1]]
               [--smooth_factor [10-30]] [--batch_size BATCH_SIZE]
               [-o OUTPUT_FILE] [--use_last_vectors] [--use_last_classes]
               [-l LYRICS]

Arguments

short long default range help
-h --help show this help message and exit
-s --song input/romantic.mp3 path to input audio file
--resolution 512 {128,256,512} output video resolution
-d --duration None output video duration
-ps --pitch_sensitivity 220 [200-295] controls the sensitivity of the class vector to changes in pitch
-ts --tempo_sensitivity 0.25 [0.05-0.8] controls the sensitivity of the noise vector to changes in volume and tempo
--classes None manually specify [--num_classes] ImageNet classes
-n --num_classes 12 number of unique classes to use
--jitter 0.5 [0-1] controls jitter of the noise vector to reduce repitition
--frame_length 512 i*2^6 number of audio frames to video frames in the output
--truncation 1 [0.1-1] BigGAN truncation parameter controls complexity of structure within frames
--smooth_factor 20 [10-30] controls interpolation between class vectors to smooth rapid flucations
--batch_size 30 BigGAN batch_size
-o --output_file name of output file stored in output/, defaults to [--song] path base_name
--use_last_vectors False set flag to use previous saved class/noise vectors
--use_last_classes False set flag to use previous classes
-l --lyrics None path to lyrics file; setting [--lyrics LYRICS] computes classes by semantic similarity under BERT encodings
Owner
Rush Kapoor
UC Berkeley CS Student with experience in full-stack web development and a keen interest in efficient, interpretable ML.
Rush Kapoor
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