INTRODUCTION
------------

The source code is related to our work

U. Remes, A. Ramírez López, K. Palomäki, M. Kurimo: "Bounded conditional mean
imputation with observation uncertainties and acoustic model adaptation", IEEE
TASLP, accepted.

Comments/questions are welcome! Please contact: ulpu.remes@aalto.fi

Last updated: 8.4.2014


LICENSE
-------

Copyright (C) 2014 Ulpu Remes, Aalto University

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

The source code must be referenced when used in a published work.

FILES AND FUNCTIONS
-------------------

bcmi_demo.m:
missing-data reconstruction example

tpmi.m:
calculates approximate bounded MMSE clean speech estimates as proposed in [1]

tcmi.m:
calculates approximate bounded MMSE clean speech estimates as proposed in [2]

mapi.m:
cluster-based imputation as proposed in [3]
Note: uses the quadratic programming toolbox (http://sigpromu.org/quadprog/)

estimate_noise_mask.m:
computes a simple noise estimate and missing-data mask

show_reconstruction_results.m:
makes plots


REFERENCES
----------

[1]  U. Remes, Bounded conditional mean imputation with an approximate posterior,
     in Proc. INTERSPEECH, pp. 3007-3011, 2013.

[2]  J. A. Gonzalez, A. M. Peinado, N. Ma, A. M. Gomez, and J. Barker, MMSE-based 
     missing-feature reconstruction with temporal modeling for robust speech recognition,
     IEEE TASLP, 21(3), pp. 624-635, 2013.

[3]  B. Raj, M. L. Seltzer, and R. M. Stern, Reconstruction of missing features
     for robust speech recognition, Speech Communication, 43(4), pp. 275-296, 2004.
