view Sounds and IRs.txt @ 23:48e065a17454 version0.2

now path includes all subdirs in demo scripts

IR_GoogleNexusOneFrontMic.wav
====================================
- recorded at studio environment at Queen Mary University of London
- method: exponential sine sweep
- Equipment:
   * Genelec ??? speaker
   * Google Nexus One phone (front microphone, Android version 2.3.6)
- Approach:
   * sine sweep was played on speaker and recorded on the phone at
     a distance of 1 meter
   * as the studio environment is not perfectly anechoic, a minor
     room impulse response is mixed in
   * impulse response was reconstructed from the recorded audio
     using inverse filtering
     
IR_GoogleNexusOneFrontSpeaker.wav
====================================
- recorded at studio environment at Queen Mary University of London
- method: exponential sine sweep
- Equipment:
   * ??? microphone
   * Google Nexus One phone (front speaker, Android version 2.3.6)
- Approach:
   * sine sweep was played on the phone's speaker and recorded on
     the microphone with a distance of 1 meter
   * as the studio environment is not perfectly anechoic, a minor
     room impulse response is mixed in
   * impulse response was reconstructed from the recorded audio
     using inverse filtering
     
ImpulseReponseVinylPlayer1960.wav    
ImpulseReponseVinylPlayer1960_smoothed.wav
===============================================
- recorded using the free iZotope Vinyl (version 1.73b)
- settings (only non default):
   * year: 1960
   * warp depth, scratch, dust, elec noise, mech noise: 0   
- method: exponential sine sweep
- Approach:
   * sine sweep was sent to the plugin and the output audio was
     recorded
   * impulse response was reconstructed from the recorded audio
     using inverse filtering

old_dusty_vinyl_recording.wav
===============================================
- recorded using the free iZotope Vinyl (version 1.73b)
- settings (only non default):
   * year: 1960
   * warp depth: 0
   * scratch, dust, elec noise, mech noise: 50%  
- method: recorded silence
- Approach:
   * silent signal was sent to the plugin and the output audio was
     recorded
   * the output contains sounds resembling dust, scratches, electrical
     noise and mechanical noise
     
     
====================================
External sounds and IRs:
====================================

GreatHall_Omni_x06y06.wav
Classroom_Omni_30x20y.wav
Octagon_Omni_x06y06.wav
====================================
Room response data is a small excerpt from the 'Room Impulse Response Data Set'
available here under a creative commons attribution-noncommercial-share-alike
license with attribution to the Centre for Digital Music, Queen Mary University of London:
http://www.isophonics.net/content/room-impulse-response-data-set

restaurant08.wav
====================================
This file is part of the scene classification dataset described here:

D. Giannoulis, E. Benetos, D. Stowell, and M. D. Plumbley,
"IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events - Public Dataset for Scene Classification Task",
Queen Mary University of London,
2012.

License: Creative Commons Attribution 2.0 UK: England & Wales (CC BY 2.0 UK)
http://creativecommons.org/licenses/by/2.0/uk/