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【重要邮件整理】音乐结构分割相关实验邮件[MUSIC-IR] Re: Structural Segmentation Implementations

2024-11-23 15:10:02   203人阅读

看一下下边这个邮件，音频分割，看题目用到机器学习，不太设计乐理知识，还有公开数据库，应该比较适合你。

你研究一下，如果可以就仿造这个文章开始研究。
MUSIC-IR列表你看看下边好像有说明怎么加入，再群发一下告诉大家，这里边老多高手。

> -----原始邮件-----
> 发件人: "Steve Hargreaves" <steve.harg@gmail.com>
> 发送时间: 2013-11-28 23:54:32 (星期四)
> 收件人: music-ir@ircam.fr
> 抄送: 
> 主题: [MUSIC-IR] New Dataset - Multitrack audio files with structural segmentation annotations
> 
> Dear list,
> 
> I‘ve just published a dataset containing structural segmentation 
> annotations for 104 rock and pop songs, along with the corresponding 
> multitrack audio files (for 51 of those songs) and hyperlinks to 
> commercially available multitrack audio files (for the remaining 53 songs).
> 
> You‘ll find the annotations, audio, hyperlinks and license information 
> here, at the C4DM Research Data Repository:
> 
> 
> http://c4dm.eecs.qmul.ac.uk/rdr/handle/123456789/36
> 
> 
> I hope this will be of use to other researchers - please cite the 
> following journal article should you use the dataset:
> 
> http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6243190
> 
> Hargreaves, S.; Klapuri, A.; Sandler, M., "Structural Segmentation of 
> Multitrack Audio," Audio, Speech, and Language Processing, IEEE 
> Transactions on , vol.20, no.10, pp.2637,2647, Dec. 2012
> doi: 10.1109/TASL.2012.2209419 keywords: {Feature 
> extraction;Indexes;Music information retrieval;Signal processing 
> algorithms;Timbre;Audio;multitrack;music information retrieval 
> (MIR);structural segmentation},
> URL: 
> http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243190&isnumber=6313477
> 
> BibTeX:
> 
> @article{hargreaves2012structural, Author = {Hargreaves, S. and Klapuri, 
> A. and Sandler, M.}, Doi = {10.1109/TASL.2012.2209419}, Issn = 
> {1558-7916}, Journal = {Audio, Speech, and Language Processing, IEEE 
> Transactions on}, Month = {dec.}, Number = {10}, Pages = {2637 -2647}, 
> Title = {Structural Segmentation of Multitrack Audio}, Volume = {20}, 
> Year = {2012}}
> 
> 
> 
> The annotations conform to the Structural Analysis of Large Amounts of 
> Music Information (SALAMI) guidelines from McGill - further information 
> on that project is available here:
> 
> http://ddmal.music.mcgill.ca/research/salami/annotations
> 
> 
> Best regards,
> 
> Steve
> 
> 
> Steven Hargreaves
> Centre for Digital Music
> Electronic Engineering
> Queen Mary University of London
> Mile End Road
> London E1 4NS
> UK
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以下email算MIDI旋律相似性，应该对好多人都有用。
Hi all
 
I‘m very glad to announce the first public release of MelodyShape, a library and tool for Symbolic Melodic Similarity: https://code.google.com/p/melody-shape/
 
This is a public implementation of the algorithms that obtained the best results in the MIREX SMS task in 2010, 2011, 2012 and 2013.
 
It is open source and entirely written in Java, so everybody is free to play with it anywhere.
As of now, version 1.0 includes a nice command line tool to try it out quickly with your MIDI files. There is also a user manual in PDF.
As a quick example to see what you can do, here is an excerpt of the help message:
 
usage: melodyshape-1.0 -q <file/dir> -c <dir> -a <name> [-k <cutoff>] [-l] [-t <num>] [-v] [-vv] [-h]
-q <file/dir>  path to the query melody or melodies.
-c <dir>       path to the collection of documents.
-a <name>      algorithm to run:
               - 2010-domain, 2010-pitchderiv, 2010-shape
               - 2011-shape, 2011-pitch, 2011-time
               - 2012-shapeh, 2012-shapel, 2012-shapeg, 2012-time, 2012-shapetime
               - 2013-shapeh, 2013-time, 2013-shapetime
-k <cutoff>    number of documents to retrieve.
-l             show results in a single line (omits similarity scores).
-t <num>       run a fixed number of threads.
-v             verbose, to stderr.
-vv            verbose a lot, to stderr.
-h             show this help message.
 
Hope somebody finds it useful.
Comments and suggestions are most welcome!
 
Cheers,
=====================================================================================================
做music autotagging应该也比较适合你。
Dear all,
 
We (Emanuele Coviello and I) have just posted the slides of our tutorial on "Music Autotagging" on-line, as well as a list of references and the source code of the live-coding demo (links to these last two are included in the slides):
 
http://www.dtic.upf.edu/~msordo/ISMIR2013/tutorial/slides.zip
 
Best regards,
 
Mohamed and Emanuele.
 
--
*******************************************
Mohamed Sordo, PhD
Music Technology Group
Universitat Pompeu Fabra, Barcelona
http://www.dtic.upf.edu/~msordo/
*******************************************

=====================================================================================================
音频相似性
http://julian-urbano.info/publications/061-evaluation-audio-music-similarity 
=====================================================================================================
主题: [MUSIC-IR] Re: Structural Segmentation Datasets

Hi Patricio,
 
There is a smaller dataset composed of 60 pop tracks here:
http://c4dm.eecs.qmul.ac.uk/downloads/reference_segmentations.zip
 
It is used in the following paper:
Levy, M., & Sandler, M. (2008). Structural segmentation of musical audio by constrained clustering. IEEE Transactions on Audio, Speech, and Language Processing, 16(2), 318–326.
 
Best,
uri
 
Oriol Nieto
Ph.D Candidate in Music Technology
Music and Audio Research Lab
New York University
https://files.nyu.edu/onc202/public/


On Wed, Apr 17, 2013 at 10:52 AM, Patricio López-Serrano <p.lopezserrano.e@gmail.com> wrote:
Dear list,

I‘m starting my master‘s thesis at the Technische Universität Berlin and would
greatly appreciate your help in finding annotated datasets suitable for
evaluating structural segmentation tasks, covering as many different musical
genres as possible. Up to now, I‘ve looked into the annotations of the Beatles
from TUT and the SALAMI project. Any further suggestions?

Many thanks and best regards,

Patricio López-Serrano

=====================================================================================================
主题: [SPAM] [MUSIC-IR] Re: Structural Segmentation Implementations

Hi Oriol,
 
Here are some of our work on musical structure (these are 3 very different methods, matlab implementation is available).
 
S. Dubnov, G. Assayag, A. Cont, “Audio Oracle: A New Algorithm for Fast Learning of Audio Structures”, in Proceedings of the International Computer Music Conference (ICMC), 2007
 
S. Dubnov, T. Apel “Audio Segmentation by Singular Value Clustering”, Proceedings of International Computer Music Conference, November 2004, Miami.
 
and potentially this one:
 
S. Dubnov, “Unified View of Prediction and Repetition Structure in Audio Signals with Application to Interest Point Detection”, IEEE Transactions on Audio, Speech and Language Processing, Vol. 16, No. 2, pp. 327-337, February 2008.
 
best,
Shlomo 
 
 
On Feb 4, 2013, at 9:19 AM, Oriol Nieto wrote:

Dear list,
 
I am trying to collect all the available open source software for music segmentation that is out there in the wild.
 
So far, here is an --unfortunately short-- list of different implementations I‘ve found:
 
- Constrained HMM (M. Levy and M. Sandler. "Structural Segmentation of Musical Audio by Constrained Clustering". IEEE Trans. ASLP, Vol. 16, Issue 2, February 2008).
- SI-PLCA (R. J. Weiss and J. P. Bello. “Identifying Repeated Patterns in Music Using Sparse Convolutive Non-Negative Matrix Factorization”. In Proc.ISMIR, 2010).
 
And here is a list of different algorithms to which I would like to have access to the implementations:
 
- F. Kaiser and T. Sikora, "Music Structure Discovery in Popular Music Using Non-Negative Matrix Factorization", in Proc. ISMIR 2010.
- M. Müller, P. Grosche and N. Jiang, "A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings", in Proc. ISMIR 2011.
- Y. Panagakis, C. Kotropoulos and G. Arce, "?1 -Graph Based Music Structure Analysis", in Proc ISMIR, 2011.
- Y. Panagakis and C. Kotropoulos, "Music Structure Analysis by Ridge Regression of Beat-Synchronous Audio Features", in Proc. ISMIR, 2012.
- J. Paulus and A. Klapuri, "Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm", IEEE Trans. ASLP, Vol. 17, Issue 6, 2009
 
Could anybody please tell me if these implementations are available somewhere?
 
Does anybody know about other open source implementations for structural segmentation?
 
Thanks a lot!
 
Oriol Nieto
Ph.D Candidate in Music Technology
Music and Audio Research Lab
New York University
https://files.nyu.edu/onc202/public/
=====================================================================================================

主题: [SPAM] [MUSIC-IR] Re: Structural Segmentation Implementations

Am 04.02.2013 18:19, schrieb Oriol Nieto:
> Dear list,
>
> I am trying to collect all the available open source software for music
> segmentation that is out there in the wild.
>
> Does anybody know about other open source implementations for structural
> segmentation?

Hi there,

segmentation and evaluation code as described in

E. Peiszer, T. Lidy, A. Rauber:
"Automatic Audio Segmentation: Segment Boundary and Structure Detection
in Popular Music";
Vortrag: International Workshop on Learning the Semantics of Audio
Signals (LSAS), Paris, France; 21.06.2008; in:"Proceedings of the 2nd
International Workshop on Learning the Semantics of Audio Signals
(LSAS)", (2008), ISBN: 978-3-9804874-7-4.

is available on request.

More info:
http://www.ifs.tuwien.ac.at/mir/audiosegmentation.html

-Ewald

 


>
> Thanks a lot!
>
> Oriol Nieto
> Ph.D Candidate in Music Technology
> Music and Audio Research Lab
> New York University
> https://files.nyu.edu/onc202/public/

=====================================================================================================
主题: [MUSIC-IR] Re: Re: Structural Segmentation Implementations

Hi, 
This should be of your interest as well.
 
http://smcnetwork.org/smc_papers-2011144
 
The code is not very well organized/documented, but you can find MATLAB prototypes here http://code.google.com/p/umslt/
 
André Pires

André


On Mon, Feb 4, 2013 at 2:26 PM, Luke Barrington <lukeinusa@gmail.com> wrote:
Hi Oriol, 
 
You might be interested in my implementation of the algorithm described in 
Barrington, Chan & Lanckriet - Modeling Music as a Dynamic Texture. 
IEEE Transactions on Audio, Speech and Language Processing, 18(3), 602-612.

A Python version of the DTM algorithm is available on my old webpage: 
http://cosmal.ucsd.edu/cal/projects/segment/DTMsegment_v1.0.tar
 
Luke Barrington
 
 

On Mon, Feb 4, 2013 at 9:19 AM, Oriol Nieto <urinieto@ccrma.stanford.edu> wrote:
Dear list,
 
I am trying to collect all the available open source software for music segmentation that is out there in the wild.
 
So far, here is an --unfortunately short-- list of different implementations I‘ve found:
 
- Constrained HMM (M. Levy and M. Sandler. "Structural Segmentation of Musical Audio by Constrained Clustering". IEEE Trans. ASLP, Vol. 16, Issue 2, February 2008).
- SI-PLCA (R. J. Weiss and J. P. Bello. “Identifying Repeated Patterns in Music Using Sparse Convolutive Non-Negative Matrix Factorization”. In Proc.ISMIR, 2010).
 
And here is a list of different algorithms to which I would like to have access to the implementations:
 
- F. Kaiser and T. Sikora, "Music Structure Discovery in Popular Music Using Non-Negative Matrix Factorization", in Proc. ISMIR 2010.
- M. Müller, P. Grosche and N. Jiang, "A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings", in Proc. ISMIR 2011.
- Y. Panagakis, C. Kotropoulos and G. Arce, "?1 -Graph Based Music Structure Analysis", in Proc ISMIR, 2011.
- Y. Panagakis and C. Kotropoulos, "Music Structure Analysis by Ridge Regression of Beat-Synchronous Audio Features", in Proc. ISMIR, 2012.
- J. Paulus and A. Klapuri, "Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm", IEEE Trans. ASLP, Vol. 17, Issue 6, 2009
 
Could anybody please tell me if these implementations are available somewhere?
 
Does anybody know about other open source implementations for structural segmentation?
 
Thanks a lot!
 
Oriol Nieto
Ph.D Candidate in Music Technology
Music and Audio Research Lab
New York University
https://files.nyu.edu/onc202/public/


-------------
=====================================================================================================
主题: [MUSIC-IR] Re: Structural Segmentation Implementations

Hi Oriol, 
 
You might be interested in my implementation of the algorithm described in 
Barrington, Chan & Lanckriet - Modeling Music as a Dynamic Texture. 
IEEE Transactions on Audio, Speech and Language Processing, 18(3), 602-612.

A Python version of the DTM algorithm is available on my old webpage: 
http://cosmal.ucsd.edu/cal/projects/segment/DTMsegment_v1.0.tar
 
Luke Barrington
 
 

On Mon, Feb 4, 2013 at 9:19 AM, Oriol Nieto <urinieto@ccrma.stanford.edu> wrote:
Dear list,
 
I am trying to collect all the available open source software for music segmentation that is out there in the wild.
 
So far, here is an --unfortunately short-- list of different implementations I‘ve found:
 
- Constrained HMM (M. Levy and M. Sandler. "Structural Segmentation of Musical Audio by Constrained Clustering". IEEE Trans. ASLP, Vol. 16, Issue 2, February 2008).
- SI-PLCA (R. J. Weiss and J. P. Bello. “Identifying Repeated Patterns in Music Using Sparse Convolutive Non-Negative Matrix Factorization”. In Proc.ISMIR, 2010).
 
And here is a list of different algorithms to which I would like to have access to the implementations:
 
- F. Kaiser and T. Sikora, "Music Structure Discovery in Popular Music Using Non-Negative Matrix Factorization", in Proc. ISMIR 2010.
- M. Müller, P. Grosche and N. Jiang, "A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings", in Proc. ISMIR 2011.
- Y. Panagakis, C. Kotropoulos and G. Arce, "?1 -Graph Based Music Structure Analysis", in Proc ISMIR, 2011.
- Y. Panagakis and C. Kotropoulos, "Music Structure Analysis by Ridge Regression of Beat-Synchronous Audio Features", in Proc. ISMIR, 2012.
- J. Paulus and A. Klapuri, "Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm", IEEE Trans. ASLP, Vol. 17, Issue 6, 2009
 
Could anybody please tell me if these implementations are available somewhere?
 
Does anybody know about other open source implementations for structural segmentation?
 
Thanks a lot!
 
Oriol Nieto
Ph.D Candidate in Music Technology
Music and Audio Research Lab
New York University
https://files.nyu.edu/onc202/public/


-------------
=====================================================================================================
主题: [MUSIC-IR] Structural Segmentation Implementations

Dear list,
 
I am trying to collect all the available open source software for music segmentation that is out there in the wild.
 
So far, here is an --unfortunately short-- list of different implementations I‘ve found:
 
- Constrained HMM (M. Levy and M. Sandler. "Structural Segmentation of Musical Audio by Constrained Clustering". IEEE Trans. ASLP, Vol. 16, Issue 2, February 2008).
- SI-PLCA (R. J. Weiss and J. P. Bello. “Identifying Repeated Patterns in Music Using Sparse Convolutive Non-Negative Matrix Factorization”. In Proc.ISMIR, 2010).
 
And here is a list of different algorithms to which I would like to have access to the implementations:
 
- F. Kaiser and T. Sikora, "Music Structure Discovery in Popular Music Using Non-Negative Matrix Factorization", in Proc. ISMIR 2010.
- M. Müller, P. Grosche and N. Jiang, "A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings", in Proc. ISMIR 2011.
- Y. Panagakis, C. Kotropoulos and G. Arce, "?1 -Graph Based Music Structure Analysis", in Proc ISMIR, 2011.
- Y. Panagakis and C. Kotropoulos, "Music Structure Analysis by Ridge Regression of Beat-Synchronous Audio Features", in Proc. ISMIR, 2012.
- J. Paulus and A. Klapuri, "Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm", IEEE Trans. ASLP, Vol. 17, Issue 6, 2009
 
Could anybody please tell me if these implementations are available somewhere?
 
Does anybody know about other open source implementations for structural segmentation?
 
Thanks a lot!
 
Oriol Nieto
Ph.D Candidate in Music Technology
Music and Audio Research Lab
New York University
https://files.nyu.edu/onc202/public/

=====================================================================================================
=====================================================================================================
=====================================================================================================

【重要邮件整理】音乐结构分割相关实验邮件[MUSIC-IR] Re: Structural Segmentation Implementations


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