From bd843570262f5cf7c8c88fec5108f874cf508642 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jo=C3=A3o=20Felipe=20Santos?= <joao.eel@gmail.com>
Date: Thu, 1 Oct 2015 10:44:25 -0400
Subject: [PATCH] Added SRMRToolbox

Added SRMRToolbox, a speech quality and intelligibility metric.
---
 README.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.rst b/README.rst
index 2e87665..ff9157c 100644
--- a/README.rst
+++ b/README.rst
@@ -175,6 +175,7 @@ Signal Processing
 - `Bob <https://github.com/idiap/bob>`_ Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. 
 - `Matlab Audio Processing Examples <http://www.ee.columbia.edu/~dpwe/resources/matlab/>`_
 - `SAcC - Subband Autocorrelation Classification Pitch Tracker <http://labrosa.ee.columbia.edu/projects/SAcC/>`_  "SAcC is a (compiled) Matlab script that performs noise- robust pitch tracking by classifying the autocorrelations of a set of subbands using an MLP neural network."
+- `SRMR Toolbox - A non-intrusive objective metric for speech quality and intelligibility for normal hearing listeners and cochlear implant users <https://github.com/MuSAELab/SRMRToolbox>`_ The speech-to-reverberation modulation energy ratio (SRMR) is a non-intrusive metric for speech quality and intelligibility based on a modulation spectral representation of the speech signal. A `Python implementation <https://github.com/jfsantos/SRMRpy>`_ is also available.
 
 Text-to-Speech
 -----------------