Cover Song Retrieval by Cross Recurrence Quantification and Unsupervised Set Detection
نویسندگان
چکیده
This extended abstract briefly outlines our submission to the audio cover song identification task run inside the 2009 music information retrieval evaluation exchange (MIREX). We very briefly introduce cover song identification, give an overview of the submitted system, and comment on the evaluation procedure (specially on the used music collections) and the achieved results. As the submission is completely based on our previous work, we refer to it for further detail.
منابع مشابه
Unsupervised Detection of Cover Song Sets: Accuracy Improvement and Original Identification
The task of identifying cover songs has formerly been studied in terms of a prototypical query retrieval framework. However, this framework is not the only one the task allows. In this article, we revise the task of identifying cover songs to include the notion of sets (or groups) of covers. In particular, we study the application of unsupervised clustering and community detection algorithms to...
متن کاملOnline Detection of Hydrodynamic Changes in Fluidized Bed using Cross Average Diagonal Line
Online detection of hydrodynamics of gas-solid fluidized bed was characterized using pressure fluctuations by cross recurrence plot (CRP) and cross recurrence quantification analysis (CRQA). Experiments were conducted in a lab scale fluidized bed of various particle sizes 150 μm, 280 μm and 490 μm at different gas velocities. Firstly, pattern changes of cross recurrence plot were discussed and ...
متن کاملCombining of Magnitude and Direction of Change Indices to Unsupervised Change Detection in Multitemporal Multispectral Remote Sensing Images
In remote sensing, image-based change detection techniques, analyze two images acquired over the same area at different times t1 and t2 to identify the changes occurred on the Earth's surface. Change detection approaches are mainly categorized as supervised and unsupervised. Generating the change index is a key step for change detection in multi-temporal remote sensing images. Unsupervised chan...
متن کاملBotOnus: an online unsupervised method for Botnet detection
Botnets are recognized as one of the most dangerous threats to the Internet infrastructure. They are used for malicious activities such as launching distributed denial of service attacks, sending spam, and leaking personal information. Existing botnet detection methods produce a number of good ideas, but they are far from complete yet, since most of them cannot detect botnets in an early stage ...
متن کاملImperfect learning for autonomous concept modeling
Most existing supervised machine learning frameworks assume there is no mistake or false interpretation on the training samples. However, this assumption may not be true in practical applications. In some cases, if human being is involved in providing training samples, there may be errors in the training set. In this paper, we study the effect of imperfect training samples on the supervised mac...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009