[LAA] spectmorph-0.0.2

Stefan Westerfeld stefan at space.twc.de
Sun May 16 20:51:48 UTC 2010


spectmorph-0.0.2 has been released. This is the first publicly announce
release.

Overview of Changes in spectmorph-0.0.2:
----------------------------------------
* bugfixes
* include proper phases, so phase-correct reconstruction of samples is possible
* new programs:
  - smstrip     - removes debugging information from SpectMorph model files
  - smextract   - extracts data from SpectMorph models, for developers only for now
* added --no-noise / --no-sines switches for smplay
* added -s switch for smenc, to create stripped models
* use boost numeric bindings + lapack for ideal phase/magnitude estimation (smenc -O2) - slow!
* SSE optimizations and other speedups for fast phase/magnitude estimation (smenc -O1)
* use odd/centered FFT to be able to reconstruct phases from FFT data  (smenc -O0)
* use different thresholding scheme for encoder, detecting more partials
* document API with doxygen
* move Encoder and other classes to libspectmorph
* added python binding, capable of reading SpectMorph model files
* added automated tests
* added manual pages for smenc, smplay, smvisualize and smstrip
* added overview document in docs directory

What is SpectMorph?
-------------------
SpectMorph is a free software project which allows to analyze samples of
musical instruments. This should allow constructing hybrid sounds, for instance
a sound between a trumpet and a flute. Also interpolating between two samples
of the same instrument (different attack velocity of a piano) could be
interesting.

SpectMorph is implemented in C++ and licensed under the GNU LGPL version 3

SpectMorph currently is in the early stages of development, which means that it
is not yet ready to be used by end users.

Links:
------
Website:  http://space.twc.de/~stefan/spectmorph.php
Download: http://space.twc.de/~stefan/spectmorph/spectmorph-0.0.2.tar.gz

There are sound examples on the website which demonstrate the sound quality of
the current SpectMorph models using piano samples.
-- 
Stefan Westerfeld, Hamburg/Germany, http://space.twc.de/~stefan


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