149 research outputs found
Music Retrieval System Using Query-by-Humming
Music Information Retrieval (MIR) is a particular research area of great interest because there are various strategies to retrieve music. To retrieve music, it is important to find a similarity between the input query and the matching music. Several solutions have been proposed that are currently being used in the application domain(s) such as Query- by-Example (QBE) which takes a sample of an audio recording playing in the background and retrieves the result. However, there is no efficient approach to solve this problem in a Query-by-Humming (QBH) application. In a Query-by-Humming application, the aim is to retrieve music that is most similar to the hummed query in an efficient manner. In this paper, I shall discuss the different music information retrieval techniques and their system architectures. Moreover, I will discuss the Query-by-Humming approach and its various techniques that allow for a novel method for music retrieval. Lastly, we conclude that the proposed system was effective combined with the MIDI dataset and custom hummed queries that were recorded from a sample of people. Although, the MRR was measured at 0.82 – 0.90 for only 100 songs in the database, the retrieval time was very high. Therefore, improving the retrieval time and Deep Learning approaches are suggested for future work
Effectiveness of Super-plasticizer on High Volume Slag (GGBS) Concrete
This research was conducted to determine the optimum dosage of super-plasticizer
for producing highly workable and high strength concrete using high volume of slag
(GGBS). Replacement of high volume slag in cement incorporating super-plasticizer
will contribute to increased strength; increased workability; reduced porosity and
permeability. Super-plasticized high - volume slag with 40% of Portland cement
replacement were produced by using different concentration of chemical admixtures
which is Naphthalene Formaldehyle Sulphonate also known as Sikament Nl. A
100% of Ordinary Portland Cement for control mix without super-plasticizer was
prepared. Seven mixes were using 60 per cent of high volume of GGBS and 40 per
cent of Ordinary Portland Cement (OPC) with different percentage of superplasticizer
from 0 per cent to 3 per cent; and constant water/cement (w/c) ratio of
0.40, course aggregate (14mm sieve) and sand. The measurement will be conduct
under workability, compressive strength, porosity and gas permeability of the
concrete. The duration or ages for measuring was divided in to 3-days, 7 -days, 28-
days and 90-days. There were 3 samples have to provide for each mix and each type
of sample. However, the conclusion of result is still pending due to the slow
development of compressive strength of concrete and further research with higher
dosage of super-plasticizer
Content-based Retrieval of Music Using Monophonic Queries on a Database of Polyphonic, Midi Information
Due to the large amount of musical data available on the internet in recent years, efficient and intuitive methods are required for searching the musical data. Musical search services, such as the iTunes provides, support querying capabilities on the basis of metadata tags (title, artist, etc) associated with the musical data. The natural way of searching musical data is to search by its content rather than secondary features like title, genre etc, because the content is usually more memorable. In this research, content-based music retrieval is performed on a polyphonic MIDI music database where the query is a hummed tune. Two approximate string matching algorithms, LCTS and Myers algorithms are modified, applied to the problem, and retrieval performance is calculated. Response times of the algorithms are calculated by altering the values of some of the interesting parameters such as the query length, degree of polyphony and size of the database.Computer Science Departmen
KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping [Extended Version]
The volume of time series data has exploded due to the popularity of new
applications, such as data center management and IoT. Subsequence matching is a
fundamental task in mining time series data. All index-based approaches only
consider raw subsequence matching (RSM) and do not support subsequence
normalization. UCR Suite can deal with normalized subsequence match problem
(NSM), but it needs to scan full time series. In this paper, we propose a novel
problem, named constrained normalized subsequence matching problem (cNSM),
which adds some constraints to NSM problem. The cNSM problem provides a knob to
flexibly control the degree of offset shifting and amplitude scaling, which
enables users to build the index to process the query. We propose a new index
structure, KV-index, and the matching algorithm, KV-match. With a single index,
our approach can support both RSM and cNSM problems under either ED or DTW
distance. KV-index is a key-value structure, which can be easily implemented on
local files or HBase tables. To support the query of arbitrary lengths, we
extend KV-match to KV-match, which utilizes multiple varied-length
indexes to process the query. We conduct extensive experiments on synthetic and
real-world datasets. The results verify the effectiveness and efficiency of our
approach.Comment: 13 page
Beat Explorer Content Based Search for MIDI File Format
This project aims on a variety of music search methods for users. It allows users from a
variety of backgrounds and capabilities to use the system. It provides searching capability
using humming, music note and parson code for midi file format. Developers and users
require different method in querying and retrieving database information with a rich variety
of methods to enhance the capability of the system. For the advance users, especially
composers, searching by music note and parson code would be the best choice for them since
it would be able to provide more precise output while for other users, humming is the best
choice since almost everyone can hum. Since not everyone could remember the song title,
humming provide the searching capability based on the melody they hum. The system will
record the humming sound and filter the noise before process it to produce the frequency of
· humming. The frequency value will be converted into music contour in parson code to be
compared to the data in the database. For music note, it will also be converted into frequency
and music contour for comparison. The system will output the song title together with the
similarity ratio of the music contour. This project uses waterfall model approach for the
development due to lots of advantages with the appropriate development tools. It is
developed using a JAVA technology and open source frameworks together with library
provided from SUN Microsystems
Effectiveness of Super-plasticizer on High Volume Slag (GGBS) Concrete
This research was conducted to determine the optimum dosage of super-plasticizer
for producing highly workable and high strength concrete using high volume of slag
(GGBS). Replacement of high volume slag in cement incorporating super-plasticizer
will contribute to increased strength; increased workability; reduced porosity and
permeability. Super-plasticized high - volume slag with 40% of Portland cement
replacement were produced by using different concentration of chemical admixtures
which is Naphthalene Formaldehyle Sulphonate also known as Sikament Nl. A
100% of Ordinary Portland Cement for control mix without super-plasticizer was
prepared. Seven mixes were using 60 per cent of high volume of GGBS and 40 per
cent of Ordinary Portland Cement (OPC) with different percentage of superplasticizer
from 0 per cent to 3 per cent; and constant water/cement (w/c) ratio of
0.40, course aggregate (14mm sieve) and sand. The measurement will be conduct
under workability, compressive strength, porosity and gas permeability of the
concrete. The duration or ages for measuring was divided in to 3-days, 7 -days, 28-
days and 90-days. There were 3 samples have to provide for each mix and each type
of sample. However, the conclusion of result is still pending due to the slow
development of compressive strength of concrete and further research with higher
dosage of super-plasticizer
Beat Explorer Content Based Search for MIDI File Format
This project aims on a variety of music search methods for users. It allows users from a
variety of backgrounds and capabilities to use the system. It provides searching capability
using humming, music note and parson code for midi file format. Developers and users
require different method in querying and retrieving database information with a rich variety
of methods to enhance the capability of the system. For the advance users, especially
composers, searching by music note and parson code would be the best choice for them since
it would be able to provide more precise output while for other users, humming is the best
choice since almost everyone can hum. Since not everyone could remember the song title,
humming provide the searching capability based on the melody they hum. The system will
record the humming sound and filter the noise before process it to produce the frequency of
· humming. The frequency value will be converted into music contour in parson code to be
compared to the data in the database. For music note, it will also be converted into frequency
and music contour for comparison. The system will output the song title together with the
similarity ratio of the music contour. This project uses waterfall model approach for the
development due to lots of advantages with the appropriate development tools. It is
developed using a JAVA technology and open source frameworks together with library
provided from SUN Microsystems
ハミング ニヨル ケンサク キノウ オ ソナエタ オンガク ハイシン システム ノ カイハツ
Music retrieval systems are extremely useful for collecting digital music data from
on-line music distribution sites. Especially, there is a great need to develop effective
techniques for content-based music retrieval systems, which can retrieve by humming
query. The main issues in this research is how to decide the similarity of each music
features extracted from music data. In order to calculate the similarity, some conventional
methods use Euclid distance or DP matching, but it is very hard to solve the problem of the
vagueness of humming query. In this paper, we propose a new similar music retrieval
method based on humming query using the Earth Mover's Distance as the distance measure.
Computing the EMD is based on a solution to the transportation problem, and the EMD is
applied as the distance measure on similar image retrieval systems. In addition, we focus
that the time complexity of the EMD is exponential worst case toward the number of
notes, the improved method to decrease the number of notes in the music feature is also
proposed. Experimental results show that the proposed method can improve the retrieval
precision of conventional systems
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