Relevant bibliographies by topics / Query by Humming (QBH)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Query by Humming (QBH)'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Query by Humming (QBH).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Query by Humming (QBH)"

1

Dong, Yun Feng, and Bei Qi. "A New Approximate Matching Algorithm and its Application in Internet Music Search by Humming." Advanced Materials Research 433-440 (January 2012): 3662–68. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3662.

Full text
Abstract:
This paper has proposed a new approximate matching algorithm—similarity matching, and use the characteristics of algorithm to establish a system of internet music search by humming. The author compared the similarity matching algorithm and dynamic time warping (DTW) algorithm, which is most commonly used to query by humming, by the system of internet music search by humming. On the two standard of the query hit ratio and query speed, we got the result that similarity matching algorithm's comprehensive efficiency is superior, is one of QBH (query by humming) algorithm, which is applicable to th
APA, Harvard, Vancouver, ISO, and other styles
2

Nagavi, Trisiladevi C., and Nagappa U. Bhajantri. "Progressive Filtering Approach for Query by Humming System Through Empirical Mode Decomposition and Multiresolution Histograms." Journal of Intelligent Systems 24, no. 2 (2015): 265–75. http://dx.doi.org/10.1515/jisys-2014-0101.

Full text
Abstract:
AbstractThis research work proposes an implementation of adept content-based music retrieval technique that attempts to address the demands of the rising availability of digital music. The primary objective of this research work is to balance the perilous impact of non-relevant songs through progressive filtering (PF) for query by humming (QBH) music information retrieval system. The PF is a technique of searching in manifolds for problem solving through reduced search space. A new strategy for empirical mode decomposition (EMD) analysis is adopted, and outcomes are propelled as a significant
APA, Harvard, Vancouver, ISO, and other styles
3

K, KARTHIKEYAN. "AN OVERVIEW OF AUDIO CLASSIFIER METHODS AND TECHNIQUES." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 4 (2018): 1. http://dx.doi.org/10.23956/ijarcsse.v8i4.591.

Full text
Abstract:
A brief overview of trends and developments in the area of Content-Based Audio Indexing and Retrieval (CBAIR), during the past few years. Here we explored some limitations and constrains of existing Query by Example (QBE) and Query by Humming (QBH) CBAIR systems. We talked about different methods to represent musical objects, like feature-based representation, musical parameter-based representation; similarly retrieval strategies, like feature based retrieval as well as melody or theme based retrieval of musical objects, in this paper. Moreover, some important issues regarding to indexing and
APA, Harvard, Vancouver, ISO, and other styles
4

Meek, C. J., and W. P. Birmingham. "A Comprehensive Trainable Error Model for Sung Music Queries." Journal of Artificial Intelligence Research 22 (August 1, 2004): 57–91. http://dx.doi.org/10.1613/jair.1334.

Full text
Abstract:
We propose a model for errors in sung queries, a variant of the hidden Markov model (HMM). This is a solution to the problem of identifying the degree of similarity between a (typically error-laden) sung query and a potential target in a database of musical works, an important problem in the field of music information retrieval. Similarity metrics are a critical component of `query-by-humming' (QBH) applications which search audio and multimedia databases for strong matches to oral queries. Our model comprehensively expresses the types of {m error} or variation between target and query: cumula
APA, Harvard, Vancouver, ISO, and other styles
5

Song, Chai-Jong, Hochong Park, Chang-Mo Yang, Sei-Jin Jang, and Seok-Pil Lee. "Implementation of a practical query-by-singing/humming (QbSH) system and its commercial applications." IEEE Transactions on Consumer Electronics 59, no. 2 (2013): 407–14. http://dx.doi.org/10.1109/tce.2013.6531124.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hartono, Henry, Viny Christanti Mawardi, and Janson Hendryli. "PERANCANGAN SISTEM PENCARIAN LAGU INDONESIA MENGGUNAKAN QUERY BY HUMMING BERBASIS LONG SHORT-TERM MEMORY." Jurnal Ilmu Komputer dan Sistem Informasi 9, no. 1 (2021): 106. http://dx.doi.org/10.24912/jiksi.v9i1.11567.

Full text
Abstract:
Song identification dan query by humming is an application that is developed using Mel-frequency cepstral coefficients (MFCC) and Long Short-Term Memory (LSTM) algorithm.The application purpose is to detect and recognize humming from the input data. In this application the humming input will be divided into two parts, namely the training audio and test audio. For the training audio, the training audio will be divided into two process stages, namely recognizing humming and searching for the unique features of a humming audio.To recognize the humming feature, the humming will be processed using
APA, Harvard, Vancouver, ISO, and other styles
7

Kharat, Vyankatesh, Kalpana Thakare, and Kishor Sadafale. "A Survey on Query by Singing/Humming." International Journal of Computer Applications 111, no. 14 (2015): 39–42. http://dx.doi.org/10.5120/19608-1484.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Hao, and Jie Yang. "Study and Exploration into Query by Humming." Advanced Materials Research 971-973 (June 2014): 1970–73. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1970.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Birmingham, William, Roger Dannenberg, and Bryan Pardo. "Query by humming with the VocalSearch system." Communications of the ACM 49, no. 8 (2006): 49–52. http://dx.doi.org/10.1145/1145287.1145313.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dannenberg, Roger B., William P. Birmingham, George Tzanetakis, Colin Meek, Ning Hu, and Bryan Pardo. "The MUSART Testbed for Query-by-Humming Evaluation." Computer Music Journal 28, no. 2 (2004): 34–48. http://dx.doi.org/10.1162/014892604323112239.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Query by Humming (QBH)"

1

Eriksson, Madeleine. "Att sjunga en fråga. En jämförelse av tre Query-by-Humming-system och deras användare." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16635.

Full text
Abstract:
The aim of this study was to compare the Query-by-Humming systems Midomi, Musicline and Tunebot regarding their retrieval effectiveness. The aim was to see if there were differences between the systems but also between the user groups common users, musicians and singers. Query-by-Humming system means that the user sings a tune that the system then use to find the right melody.To compare the systems and their users, queries where collected from the different user groups and replayed for the systems. Mean Reciprocal Rank and Friedman test was used to do the comparison.The results showed that the
APA, Harvard, Vancouver, ISO, and other styles
2

Dickerson, Kyle B. "Musical Query-by-Content Using Self-Organizing Maps." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/1795.

Full text
Abstract:
The ever-increasing density of computer storage devices has allowed the average user to store enormous quantities of multimedia content, and a large amount of this content is usually music. Current search techniques for musical content rely on meta-data tags which describe artist, album, year, genre, etc. Query-by-content systems, however, allow users to search based upon the actual acoustical content of the songs. Recent systems have mainly depended upon textual representations of the queries and targets in order to apply common string-matching algorithms and are often confined to a single qu
APA, Harvard, Vancouver, ISO, and other styles
3

Skála, František. "Vyhledávání v hudebních signálech." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236513.

Full text
Abstract:
This work contains overview of methods used in the area of Music Information Retrieval, mainly for purposes of searching of musical recordings. Several existing services in the areas of music identification and searching are presented and their methods for unique song identification are described. This work also focuses on possible modifications of these algorithms for searching of cover versions of songs and for the possibility of searching based on voice created examples.
APA, Harvard, Vancouver, ISO, and other styles
4

Salamon, Justin J. "Melody extraction from polyphonic music signals." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123777.

Full text
Abstract:
Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now require novel ways of describing, indexing, searching and interacting with musical content. In this thesis we focus on a technology that opens the door to a wide range of such applications: automatically estimating the pitch sequence of the melody directly from the audio signal of a polyphonic music re
APA, Harvard, Vancouver, ISO, and other styles
5

Thoshkahna, Balaji. "A Hierarchical Approach To Music Analysis And Source Separation." Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2460.

Full text
Abstract:
Music analysis and source separation have become important and allied areas of research over the last decade. Towards this, analyzing a music signal for important events such as onsets, offsets and transients are important problems. These tasks help in music source separation and transcription. Approaches in source separation too have been making great strides, but most of these techniques are aimed at Western music and fail to perform well for Indian music. The fluid style of instrumentation in Indian music requires a slightly modified approach to analysis and source separation. We propose
APA, Harvard, Vancouver, ISO, and other styles
6

Thoshkahna, Balaji. "A Hierarchical Approach To Music Analysis And Source Separation." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2460.

Full text
Abstract:
Music analysis and source separation have become important and allied areas of research over the last decade. Towards this, analyzing a music signal for important events such as onsets, offsets and transients are important problems. These tasks help in music source separation and transcription. Approaches in source separation too have been making great strides, but most of these techniques are aimed at Western music and fail to perform well for Indian music. The fluid style of instrumentation in Indian music requires a slightly modified approach to analysis and source separation. We propose a
APA, Harvard, Vancouver, ISO, and other styles
7

Kuo, Chin-Yang, and 郭景揚. "Accelerating query by singing/humming on GPU." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/05184339080215319813.

Full text
Abstract:
碩士<br>國立清華大學<br>資訊系統與應用研究所<br>101<br>A query-by-singing/humming (QBSH) system is a technique that takes the user’s humming sound as input to find the most matching song from the song database. This study intends to discuss how to improve the matching algorithm in a QBSH system using GPU parallel computing features more efficiency, and at the same time to improve the recognition rate. The current version of QBSH system discussed in this study adopts two types of matching algorithms: one method is called linear scaling (LS), and the other method is the more time-costly dynamic time warping (DTW)
APA, Harvard, Vancouver, ISO, and other styles
8

Liu, Chueh-Chih, and 劉爵至. "Query By Humming ─ Content-Based MP3 Information Retrieval." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/30994388955937211127.

Full text
Abstract:
碩士<br>大同大學<br>資訊經營研究所<br>91<br>In this thesis we investigate the approach of the MP3 content-based retrieval, allowing users to query by humming to take retrieval action. In recent years, Query By Humming (QBH) has become a popular study. Scholars are engrossed in the MIDI music format. Since the prevalence of the Internet and MP3 format appeared, which has the characteristics of little files and the MP3 music quality can complete with that of CD music, raising the revolution of digital music. This thesis focuses on the MP3 music format. The key point is comparing the musical data object by th
APA, Harvard, Vancouver, ISO, and other styles
9

Zou, Ming-Xian, and 鄒銘軒. "Query by singing/humming using combination of classifiers." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/11239109509141400500.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Jao, Yen-Chang, and 饒彥章. "Improving Linear Scaling for Query-by- Singing/Humming." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/60523640701604135061.

Full text
Abstract:
碩士<br>國立清華大學<br>資訊工程學系<br>102<br>This thesis proposes an improved framework for improving both the efficiency and the effectiveness of a query by singing/humming (QBSH) system. The proposed framework is based on three methods. Method 1 uses golden section search to reduce the computation time in traditional linear scaling (LS) algorithm. Method 2 assigns different weights for rests (in both database songs and in queries) so that these rests now have less effect on computing the weighted distance. Method 3 utilizes a sorted error vector to ignore the LS distances that are overly large and only
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Query by Humming (QBH)"

1

Bu, Yingyi, Raymond Chi-Wing Wong, and Ada Wai-Chee Fu. "Query by Humming." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_292-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Shasha, Dennis, and Yunyue Zhu. "Query by Humming." In High Performance Discovery in Time Series. Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4046-2_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bu, Yingyi, Raymond Chi-Wing Wong, and Ada Wai-Chee Fu. "Query by Humming." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_292.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bu, Yingyi, Raymond Chi-Wing Wong, and Ada Wai-Chee Fu. "Query by Humming." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_292.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kosugi, Naoko, Hidenobu Nagata, and Tadashi Nakanishi. "Query-by-Humming on Internet." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45227-0_58.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Pauws, Steffen. "Cubyhum: Algorithms for Query by Humming." In Philips Research. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0703-9_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhang, Guanyuan, Kai Lu, and Bin Wang. "Query Reformulation Based on User Habits for Query-by-Humming Systems." In Information Retrieval Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35341-3_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Peipei, Bin Wang, and Shiying Luo. "Top-K Similarity Search for Query-By-Humming." In Web-Age Information Management. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39958-4_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nagavi, Trisiladevi C., and Nagappa U. Bhajantri. "Query by Humming System Through Multiscale Music Entropy." In Advances in Intelligent Systems and Computing. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2009-1_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Alfaro-Paredes, Edwin, Leonardo Alfaro-Carrasco, and Willy Ugarte. "Query by Humming for Song Identification Using Voice Isolation." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79463-7_27.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Query by Humming (QBH)"

1

Chai-Jong Song, Hochong Park, Chang-Mo Yang, Sei-Jin Jang, and Seok-Phil Lee. "Implementation of a practical query-by-singing/humming (QbSH) system and its commercial applications." In 2013 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2013. http://dx.doi.org/10.1109/icce.2013.6486813.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ghias, Asif, Jonathan Logan, David Chamberlin, and Brian C. Smith. "Query by humming." In the third ACM international conference. ACM Press, 1995. http://dx.doi.org/10.1145/217279.215273.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhu, Yunyue, Dennis Shasha, and Xiaojian Zhao. "Query by humming." In the 2003 ACM SIGMOD international conference on. ACM Press, 2003. http://dx.doi.org/10.1145/872757.872866.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Shaojing Zhou, Zhijun Zhao, and Ping Shi. "Humming note segmentation method in Query-by-Humming." In 2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID). IEEE, 2016. http://dx.doi.org/10.1109/icasid.2016.7873890.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Nam, Gi Pyo, Kang Ryoung Park, Soek-Pil Lee, Eui Chul Lee, Moo-Young Kim, and Kichul Kim. "Intelligent Query by Humming System." In Applications (ICUT). IEEE, 2009. http://dx.doi.org/10.1109/icut.2009.5405705.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Li, Jin, Jiqing Han, Ziqiang Shi, and Jing Li. "An efficient approach to humming transcription for query-by-humming system." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5646801.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Khan, Nauman Ali, and Mubashar Mushtaq. "Open issues on query by humming." In 2011 Fourth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icadiwt.2011.6041417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Qiang, Zhiyuan Guo, Gang Liu, Chunguang Li, and Jun Guo. "Local alignment for query by humming." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638351.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hsuan-Huei Shih, S. S. Narayanan, and C. C. J. Kuo. "Multidimensional humming transcription using a statistical approach for query by humming systems." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1221329.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Liu, Tao, Xianglin Huang, Lifang Yang, and Pengju Zhang. "Query by Humming: Comparing Voices to Voices." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5305356.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Query by Humming (QBH)' for particular source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography