@@ -16,54 +16,55 @@ The following papers and publications make extensive use of `music21`. Start her
1616Cuthbert, Michael Scott Cuthbert and Christopher Ariza. 2010. "`music21 `: A
1717Toolkit for Computer-Aided Musicology and Symbolic Music Data." In
1818*Proceedings of the International Society for Music Information Retrieval *.
19- https://www.academia.edu/243058/music21_A_Toolkit_for_Computer_Aided_Musicology_and_Symbolic_Music_Data
19+ https://www.trecento.com/research/Cuthbert_Ariza_Music21_ISMIR_2010.pdf
2020
2121
2222Then continue with:
2323
2424Church, Maura and Michael Scott Cuthbert. 2014. "Improving Rhythmic
2525Transcriptions via Probability Models Applied Post-OMR." In *Proceedings of the
2626International Society for Music Information Retrieval *.
27- https://www.academia.edu/7709124/Improving_Rhythmic_Transcriptions_via_Probability_Models_Applied_Post_OMR
27+ https://www.trecento.com/research/Church_Cuthbert_OMR.pdf
2828
2929Cuthbert, Michael Scott, Beth Hadley, Lars Johnson, and Christopher Reyes. 2012.
3030"Interoperable Digital Musicology Research via `music21 ` Web Applications."
3131From *Joint CLARIN-D/DARIAH Workshop at Digital Humanities Conference Hamburg *.
32- https://www.academia.edu/1787946/Interoperable_Digital_Musicology_Research_via_music21_Web_Applications
32+ https://www.trecento.com/research/Cuthbert_Hadley_Johnson_Reyes_Music21_SOA.pdf
3333
3434Cuthbert, Michael Scott, Chris Ariza, Jose Cabal-Ugaz, Beth Hadley, and Neena Parikh. 2011.
3535"Hidden Beyond MIDI’s Reach:Feature Extraction and Machine Learning with Rich Symbolic Formats
3636in `music21 `" In *Proceedings of the Neural Information Processing Systems Conference *.
37- https://www.academia.edu/1256513/Hidden_Beyond_MIDI_s_Reach_Feature_Extraction_and_Machine_Learning_with_Rich_Symbolic_Formats_in_music21
37+ https://www.trecento.com/research/Cuthbert_Ariza_Cabal-Ugaz_Hadley_Parikh-Hidden-NIPS2011.pdf
3838
3939Cuthbert, Michael Scott, Chris Ariza, and Lisa D. Friedland. 2011. "Feature Extraction and
4040Machine Learning on Symbolic Music using the `music21 ` Toolkit" In
4141*Proceedings of the International Symposium on Music Information Retrieval *
42- https://www.academia.edu/1256514/Feature_Extraction_and_Machine_Learning_on_Symbolic_Music_using_the_music21_Toolkit
42+ https://www.trecento.com/research/Cuthbert_Ariza_Friedland_Feature-Extraction_ISMIR_2011.pdf
4343
4444Jordi Barthomé Guillen and Michael Scott Cuthbert. 2011. "Score Following from
4545Inaccurate Score and Audio Data using OMR and `music21 `." In *Proceedings of the Neural
4646Information Processing Systems Conference (Music and Machine Learning, Workshop 4 *.
47- https://www.academia.edu/1256512/Score_Following_from_Inaccurate_Score_and_Audio_Data_using_OMR_and_music21
47+ https://www.trecento.com/research/Bartolome-Guillen_Cuthbert_ScoreFollower.pdf
4848
4949Ariza, C. and Michael Scott Cuthbert. 2011. "The `music21 ` Stream: A New Object
5050Model for Representing, Filtering, and Transforming Symbolic Musical
5151Structures." In *Proceedings of the International Computer Music Conference *.
5252San Francisco: International Computer Music Association, pp. 61-68.
5353Available online at https://www.flexatone.net/static/docs/music21Stream.pdf
54+ and https://www.trecento.com/research/Ariza_Cuthbert_Stream_ICMC_2011.pdf
5455
5556Ariza, C. and Michael Scott Cuthbert. 2011. "Analytical and Compositional
5657Applications of a Network-Based Scale Model in `music21 `." In *Proceedings of the
5758International Computer Music Conference *. San Francisco: International Computer
5859Music Association, pp. 701-708. Available online at
5960https://www.flexatone.net/static/docs/scaleNetwork.pdf
61+ and https://www.trecento.com/research/Ariza_Cuthbert_Scale_ICMC_2011.pdf
6062
6163Ariza, C. and Michael Scott Cuthbert. 2010. "Modeling Beats, Accents, Beams, and
6264Time Signatures Hierarchically with `music21 ` Meter Objects." In *Proceedings of the
6365International Computer Music Conference *. San Francisco: International Computer Music
6466Association. 216-223. Available online at
65- https://www.academia.edu/243059/Modeling_Beats_Accents_Beams_and_Time_Signatures_Hierarchically_with_music21_Meter_Objects
66-
67+ https://www.trecento.com/research/Ariza_Cuthbert_Meter_ICMC_2010.pdf
6768
6869Future Goals and Potential Applications
6970---------------------------------------------------
@@ -93,7 +94,3 @@ interesting suggestions. To contact the authors, visit :ref:`about`.
9394- Identify potential clefs for fragmentary Renaissance and Medieval pieces that are
9495 missing their clefs. (Use their staff-lines and minimizing number of melodic and
9596 harmonic tritones).
96-
97-
98-
99-
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