盲混响时间估计

所属分类:matlab编程
开发工具:matlab
文件大小:6481KB
下载次数:2
上传日期:2020-05-20 16:09:06
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说明:  通过直接分析声音文件得到最大似然估计法下的混响时间和混响时间的图像,房间空间的参数来自AIR数据库,数据库里面有多种房间形式的参数形式。
(Through the direct analysis of sound files, the images of reverberation time and reverberation time under the maximum likelihood estimation method are obtained. The parameters of room space come from air database, which has many kinds of room forms.)

文件列表:
盲混响时间估计 (0, 2020-05-07)
盲混响时间估计\AIR (0, 2020-05-07)
盲混响时间估计\AIR\air_binaural_booth_1_0_3.mat (241167, 2014-02-12)
盲混响时间估计\AIR\air_binaural_lecture_1_0_3.mat (491421, 2014-02-12)
盲混响时间估计\AIR\air_binaural_meeting_1_0_3.mat (242347, 2014-02-12)
盲混响时间估计\AIR\air_binaural_office_1_0_3.mat (246646, 2014-02-12)
盲混响时间估计\AIR\air_binaural_stairway_1_1_3_90.mat (737437, 2014-02-12)
盲混响时间估计\AIR\load_air2.m (7776, 2014-02-12)
盲混响时间估计\functions (0, 2020-05-07)
盲混响时间估计\functions\ML_RT_estimation.m (7867, 2014-02-12)
盲混响时间估计\functions\ML_RT_estimation_frame2.m (7727, 2014-02-12)
盲混响时间估计\functions\ML_RT_estimation_init.m (6137, 2014-02-12)
盲混响时间估计\license.txt (1545, 2014-02-12)
盲混响时间估计\loellmann10a.pdf (166477, 2014-02-12)
盲混响时间估计\main_RT_estimation_example.m (6702, 2014-02-12)
盲混响时间估计\RT_est.png (7960, 2014-02-12)
盲混响时间估计\speech_file (0, 2020-05-07)
盲混响时间估计\speech_file\TSP1min48.wav (5762758, 2014-02-12)
盲混响时间估计\speech_file\TSP_database.txt (0, 2014-02-12)
盲混响时间估计\utilities (0, 2020-05-07)
盲混响时间估计\utilities\readwav.m (3354, 2014-02-12)
盲混响时间估计\utilities\RT_schroeder.m (7230, 2014-02-12)

------------------------------------------------------------------------------- Matlab source code for blind reverberation time estimation from reverberant (denoised) speech signals. ------------------------------------------------------------------------------- Reference: Heinrich W. Lllmann, Emre Yilmaz, Marco Jeub and Peter Vary: "An Improved Algorithm for Blind Reverberation Time Estimation" International Workshop on Acoustic Echo and Noise Control (IWAENC), Tel Aviv, Israel, August 2010. ------------------------------------------------------------------------------- Copyright (c) 2012, Heinrich Loellmann and Marco Jeub Institute of Communication Systems and Data Processing RWTH Aachen University, Germany Contact information: loellmann@ind.rwth-aachen.de All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution * Neither the name of the RWTH Aachen University nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ------------------------------------------------------------------------------- Version 1.0 ------------------------------------------------------------------------------- The folder contains the following files and folders: ML_RT_estimation_example.m Script to demonstrate the use of the function function Folter with functions for RT estimation utilities Folder with utility functions for determing the RT by the Schroeder method and the reading of speech files AIR Folder with binaural room impulse responses for the example taken from the AIR database Download link: http://www.ind.rwth-aachen.de/~air speech_file Folder with speech file for the simulation example taken from the "TSP speech database" Reference: P. Kabal, "TSP speech database", Tech. Rep., Department of Electrical & Computer Engineering, McGill University, Montreal, Quebec, Canada, 2002. Download link: http://www-mmsp.ece.mcgill.ca/Documents/Data/index.html ------------------------------------------------------------------------------- Tested under Windows 7 (***bit) and Matlab r2011b (***bit) -------------------------------------------------------------------------------

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