Simple Sound Textures Synthesize

Using statistic methods to synthesize sound of textures from white noise.

This is a simple implementation for the algorithm described in

Syhthesis of sound textures with tonal components using summary statistic and all-pole residual modeling
Hyung-Suk, Kim and Julius Smith
DAFx-16

Dependencies

This repository requires following packages:

• python 2.7
• numpy
• essentia
• librosa
• gammatone

Usage

usage: SoundTextureSynth.py [-h] [-i INPUT_PATH] [-o OUTPUT_NAME]
                            [-l OUTPUT_LENGTH] [-fs SAMPLE_RATE]
                            [-it ITER_TIME] [-lr LEARNING_RATE]
                            
required arguments:
  -i  INPUT_PATH     path to input file (source audio)
  
optional arguments:
  -h
  -o  OUTPUT_NAME    name of output file (default = 'out.wav')
  -l  OUTPUT_LENGTH  length of output file(in seconds) (default = 5)
  -fs SAMPLE_RATE    sample rate (default = 44100)
  -it ITER_TIME      Maximum iteration time for gradient decent(in seconds) (default = 60)
  -lr LEARNING_RATE  learning rate for gradient decent (default = 0.3)

Todos

• Cross corelation faetures.

License

BSD