important papers

• A-DAFX adaptive digital effects
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations

These two papers show that there's already been some research on our topic.Ihaven't got much time to conclude them now, but by showing a few images fromthesecond paper, you already see how they made a general framework like we werethinking of.




I'll summarize the papers by summing up the things I marked:

• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p2:
  In the class of loudness effects (perceptive classification) the first adaptive effects already exist: compressor and expander, limiter and noise gate. They're auto-adaptive effects.
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p4:
  Chorus and flanging are specific cases of phase modifications known as phase shifting or phasing.
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p5:
  Here they advise lowpass filtering the pitch extraction model (based on autocorrelation). I marked this because it could be useful for my pitch detection algorithm, they wrote this to say that it's might be enough to use not so good algorithms depending on what you're going to use the feature for.
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p5:
  Here they introduce the three layer mapping strategy using a perceptive layer. There are sound feature extraction, sound feature combination and signal conditioning.
  The sound feature combination using warping (after normalizing and before combination). This can be used for different purposes: a truncation of the feature in order to select an interesting part, a low-pass filtering, a scale change (from linear to exponential or logarithmic).
  What is meant by this?
  

  Fourth, and finally, a warping function can also be applied to the feature combination output in order to symetrically provide modifications of features before and after combination.
  

  
  Control signal conditioning is usually used to protect hardware from an input signal.
  Long term features can be used as controls of the mapping (fi(n)), while short term features are useful as inputs.
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p7:
  Real-time implementations are performed in Max/MSP and non-real time in Matlab.
  I've seen this programming environment Max/MSP being named a couple of times in papers about our subject. It looks a bit like simulink for musical purposes.
  
• Adaptive digital audio effects (A-DAFX) : a new class of sound transformations p3:
  A beautiful classification scheme of audio extraction features is given:
  
  

>> still two other papers to summarize!