Feature-Wise Indexing of Indian Light Music for Efficient Retrieval Using Brief Humming Queries

Feature-Wise Indexing of Indian Light Music for Efficient Retrieval Using Brief Humming Queries | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Feature-Wise Indexing of Indian Light Music for Efficient Retrieval Using Brief Humming Queries Gopala NanjeGowda, Nagappa U. Bhajantri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6681442/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Query-by-Humming (QBH) is a well-established technique in music information retrieval, offering intuitive and user-friendly search capabilities. This study presents a robust QBH framework specifically designed for Indian Light Music (ILM), leveraging the Constant-Q Transform (CQT) to extract perceptually relevant spectral features. These representations are indexed using Scalable Nearest Neighbours (ScaNN), enabling efficient and scalable approximate similarity search across large audio corpora. The system effectively supports short-duration humming queries and retrieves corresponding full-length ILM tracks with high precision. Experimental evaluations demonstrate notable improvements in retrieval accuracy and computational speed compared to conventional methods. The proposed framework is resilient to pitch variations, imprecise queries, and the inherently diverse melodic structures characteristic of ILM. Constant-Q Transform Indian Light Music Music Retrieval Query-by-Humming ScaNN Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6681442","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":461744107,"identity":"6284ebad-ad4d-4267-822c-cdeb1e76156e","order_by":0,"name":"Gopala NanjeGowda","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5klEQVRIiWNgGAWjYLCCByDiMPMBICkhQ5yWBBBxnA1ESfCQoOU8jwGIIqxF3r334IeEmtrEvsM8n1/dqLHgYWA/fHQDPi2GZ84lSyQcO5448zDvNuucY0CH8aSl3cCrZUaOgUQC27HcDUAtxjlsQC0SPGaEtBj/SPgH0sLzzDjnHxFa5CVyzCQS22pAWpgf57YRocWA51yaRWLfgfqZh9nMmHP7JHjYCPlFvr338I0P3+qM+c4ffvw551udHD/74WP4bTkAjojDIIJNAkziUw62pQGspQ5EMH8gpHoUjIJRMApGJgAAVCVNupMp1tcAAAAASUVORK5CYII=","orcid":"","institution":"Government Engineering College","correspondingAuthor":true,"prefix":"","firstName":"Gopala","middleName":"","lastName":"NanjeGowda","suffix":""},{"id":461744108,"identity":"ce665cdd-225a-4a57-889d-85390238c550","order_by":1,"name":"Nagappa U. 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