149 research outputs found

    Music Retrieval System Using Query-by-Humming

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    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

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    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

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    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

    Content-based music retrieval by acoustic query

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    Ph.DDOCTOR OF PHILOSOPH

    KV-match: A Subsequence Matching Approach Supporting Normalization and Time Warping [Extended Version]

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    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-matchDP_{DP}, 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

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    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

    Get PDF
    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

    Get PDF
    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

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    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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