[aubio-user] Polyphonics

[Paul Brossier]

Hi Martin, Emersont, and all,

I will be working on chord detection in the next few weeks. Stay tuned!

Best, Paul

On 10/21/15 3:33 PM, Martin Pernollet wrote:
> Hi,
> 
> Polyphonic transcription of a single instrument is a hard and unsolved
> problem! 
> 
> Although this thesis indicates excellent performances for guitar (98%
> recall / 93% precision), they did it in "lab" conditions. The author
> honestly admits : 
> 
> "/These results are also biased by the fact that they were generated
> using the same guitar that generated the note templates, and most notes
> were played at a constant volume. Playing very quietly or loudly would
> result in less accurate note detection. This test reflects the best
> performance of our implementation of the NMF algorithm. [...]
> Unfortunately, the algorithm performed very poorly on a distorted
> electric guitar input./"
> 
> Other recent papers [1] focusing on piano transcription and using larger
> evaluation datasets announce around 90% precision/recall. Although my
> bibliography is not exhaustive, deep learning approaches [2] do not seem
> perform better than "classical" machine learning :/
> 
> The bad news is that those researchers don't want to share their code...
> or sometime lost their code, so one has to implement by her/himself
> based on the papers.
> 
> Cheers
> 
> Martin
> 
> [1] http://www.cp.jku.at/research/papers/Boeck_Schedl_ICASSP_2012.pdf
> [2] http://cs.stanford.edu/~jngiam/papers/ismir2011-PolyphonicTranscription.pdf
> 
> 
> 2015-10-19 23:15 GMT+02:00 <emersont1 at outlook.com
> <mailto:emersont1 at outlook.com>>:
> 
> 
>     Hello
>     For polyphonics, I think that this paper, if it has not already been
>     put forth, may help (I reuploaded the paper to puush to shorten the
>     URL http://puu.sh/kQiCv/c43c603455.pdf).
>     I haven't quite had time to read it all, but I think that it would
>     help with making aubio polyphonic
>     Sent by Outlook <http://taps.io/outlookmobile> for Android
> 
> 
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> 
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