Acoustical Building

Applied Building Physics: Ambient Conditions, Building Performance and Material Properties, 2nd Edition

Applied Building Physics: Ambient Conditions, Building Performance and Material Properties by Hugo S. L. Hens
2016 | ISBN: 3433031479 | English | 358 pages | PDF | 81 MB

Building Acoustics (Repost)  eBooks & eLearning

Posted by roxul at June 27, 2016
Building Acoustics (Repost)

Tor Erik Vigran, "Building Acoustics"
English | 2008-10-01 | ISBN: 041542853X | 383 pages | PDF | 4.6 MB

Acoustical Sensing and Imaging  eBooks & eLearning

Posted by interes at April 6, 2016
Acoustical Sensing and Imaging

Acoustical Sensing and Imaging by Hua Lee
English | 2016 | ISBN: 1498725732 | 134 pages | PDF | 18 MB

Bio-aggregate-based Building Materials: Applications to Hemp Concretes (Repost)  eBooks & eLearning

Posted by nebulae at Nov. 2, 2015
Bio-aggregate-based Building Materials: Applications to Hemp Concretes (Repost)

Laurent Arnaud, "Bio-aggregate-based Building Materials: Applications to Hemp Concretes"
English | ISBN: 1848214049 | 2013 | PDF | 323 pages | 22.2 MB

Acoustical Imaging: Techniques and Applications for Engineers (repost)  eBooks & eLearning

Posted by interes at Nov. 2, 2015
Acoustical Imaging: Techniques and Applications for Engineers (repost)

Acoustical Imaging: Techniques and Applications for Engineers by Woon Siong Gan
English | ISBN: 0470661607 | 2012 | PDF | 425 pages | 5 MB
Building Physics - Heat, Air and Moisture: Fundamentals and Engineering Methods with Examples and Exercise (Repost)

Hugo S. L. C. Hens, "Building Physics - Heat, Air and Moisture: Fundamentals and Engineering Methods with Examples and Exercises"
English | 2012 | ISBN: 3433030278 | 330 pages | PDF | 16 MB

Acoustical and Environmental Robustness in Automatic Speech Recognition (repost)  eBooks & eLearning

Posted by MoneyRich at Oct. 11, 2015
Acoustical and Environmental Robustness in Automatic Speech Recognition (repost)

Acoustical and Environmental Robustness in Automatic Speech Recognition by A. Acero
English | 13 July 2013 | ISBN: 1461363667 | 212 Pages | PDF | 14 MB

The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained.

Acoustical Imaging (Volume 25) 2000th Edition  eBooks & eLearning

Posted by alt_f4 at Aug. 28, 2015
Acoustical Imaging (Volume 25) 2000th Edition

Acoustical Imaging (Volume 25) by Michael Halliwell
English | Jan. 31, 2001 | ISBN: 0306465167 | 580 Pages | PDF | 14 MB

The origin ofthe International Acoustical Imaging Symposium series can be traced to 1967, when a meeting on acoustical holography was held in C alifornia. In those days, acoustical holography was at the leading edge of research but, as the importance of this subject waned, so the title of the series was changed from Acoustical Holography to Acoustical Imaging in 1978.
Building Physics - Heat, Air and Moisture: Fundamentals and Engineering Methods with Examples and Exercises (Repost)

Hugo S. L. C. Hens, "Building Physics - Heat, Air and Moisture: Fundamentals and Engineering Methods with Examples and Exercises"
English | 2012 | ISBN: 3433030278 | 330 pages | PDF | 16 MB

Acoustical and Environmental Robustness in Automatic Speech Recognition  eBooks & eLearning

Posted by mapusi at Feb. 24, 2015
Acoustical and Environmental Robustness in Automatic Speech Recognition

Acoustical and Environmental Robustness in Automatic Speech Recognition (The Springer International Series in Engineering and Computer Science) by Alex Acero
English | 1993 | ISBN: 1461363667 | 186 Pages | PDF | 14 MB

The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained.