Read and respond to this message at: https://sourceforge.net/forum/message.php?msg_id=4822663 By: mokhov
Hi, My belief that can be possible with some of the algorithm combinations in MARF (not all would work, only frequency-based ones for feature extraction). This is an interesting project; I said 'belief' because no-one has actually tried Chinese tones yet for this task. But setting up such an experiment should be easy enough with the current MARF as-is provided the needed samples data is available and modification to the speakers.txt in SpeakersIdentApp file accordingly to the data samples. Since the tones are based on the frequency changes, the change of frequency "features" should be easy enough to detect. I could set this up for you fast if you could share your sample recordings, or just give the training and testing sample file names, and we can produce the required speakers.txt. Each entry in this file would be the tone you are trying to identify, with the accompanying samples to train and to test on. You will require MARF itself as well as the SpeakerIdentApp for this task. I would recommend getting the one from the CVS instead of the FRS, as those are somewhat behind the current state of things. Let me know if you need more info. -s ______________________________________________________________________ You are receiving this email because you elected to monitor this forum. To stop monitoring this forum, login to SourceForge.net and visit: https://sourceforge.net/forum/unmonitor.php?forum_id=213052 ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ marf-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/marf-devel
