Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Syntax issue on line 165 #27

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ where :

Score-informed separation of Bach chorales from the Bach10 dataset into bassoon, clarinet, saxophone, violin in examples/bach10_scoreinformed/separate_bach10.py:

python separate_bach10.py -i <inputfile> -o <outputdir> -m <path_to_model.pkl>
python separate_bach10.py -i <inputfile> -o <outputdir> -m <path_to_model.pkl>

where :
- \<inputfile\> is the wav file to separate
Expand Down Expand Up @@ -162,18 +162,18 @@ We have three experiments:

-Oracle: train with the original pieces (obviously overfitting, hence this is the "Oracle");

-Sibelius: train with the pieces sythesized with Sibelius software;
-Sibelius: train with the pieces synthesized with Sibelius software;

-RWC: train with the pieces synthesized using the samples in <a href="https://staff.aist.go.jp/m.goto/RWC-MDB/">RWC instrument sound dataset</a>.

The code for feature computation and training the network can be found in "examples/bach10" folder.

# Score-informed separation of classical music mixtures with Bach10 dataset
We separate bassoon,clarinet,saxophone,violing using <a href="http://music.cs.northwestern.edu/data/Bach10.html">Bach10 dataset</a>, which comprises 10 Bach chorales and the associated score.
We separate bassoon, clarinet, saxophone, violing using <a href="http://music.cs.northwestern.edu/data/Bach10.html">Bach10 dataset</a>, which comprises 10 Bach chorales and the associated score.

We generate training data with the approach mentioned above using the RWC database. Consequently, we train with the pieces synthesized using the samples in <a href="https://staff.aist.go.jp/m.goto/RWC-MDB/">RWC instrument sound dataset</a>.

The score is given in .txt files containing the name of the of the instrument and an additional suffix, e.g. 'bassoon_g.txt'. The format for a note in the text file is: onset, offset, midinotename , as the following example: 6.1600,6.7000,F4# .
The score is given in .txt files containing the name of the of the instrument and an additional suffix, e.g. 'bassoon_g.txt'. The format for a note in the text file is: onset, offset, midinotename, as the following example: 6.1600,6.7000,F4# .

The code for feature computation and training the network can be found in "examples/bach10_sourceseparation" folder.

Expand Down