Audio Grammar
=============
The basic idea of the Audio Grammar is derived from the that of the
[Image Grammar](./README-Vision.md); please read that first. The general
idea is that one can create collections of audio processing filters,
and then train to discover high mutual-information filter pairs, use
these to obtain maximum spanning graphs, and, from these, to obtain
grammars.  The same ideas as applied to natural language, but instead
applied to sound.

Status
------
**Version 0.0.0** -- There no code, and barely even an idea. This README
exists only to collect interesting bibliographical material and useful
URL's.

Bibliography
============
* Aaron Keesing, Yun Sing Koh , Michael Witbrock, ["Acoustic Features
  and Neural Representations for Categorical Emotion Recognition from
  Speech"](https://www.isca-speech.org/archive/pdfs/interspeech_2021/keesing21_interspeech.pdf)
  INTERSPEECH 2021 30 August – 3 September, 2021, Brno, Czechia
  pp 3415-3419 http://dx.doi.org/10.21437/Interspeech.2021-2217

  Provides a useful, short review of speech processing.