Paper Contents
Abstract
The humming-based song identification system is aimed to solve a common problem that users tend to face on failing toidentify songs when they remember only the tune but not the lyrics or title. The main differences of the current systems relyheavily on lyrics or recorded audio, leaving the users who only can hum the tune without any possible solution. This projectbridges the gap by developing a system capable of identifying songs based solely on humming, making music discovery easyand effective. The system utilizes advanced sound processing techniques and captures real-time audio input through amicrophone. It then processes the input by filtering background noise and extracting key musical features such as pitch,rhythm, and tempo. The features are then matched with a database of stored songs to identify a matching melody in that songdatabase. This would enable users with somewhat off-tune or inconstant humming to easily and precisely find the same song,if it exists. Designed with a user-friendly interface, the system is highly accessible to variously gifted individuals in music,creating an intuitive and seamless experience. Unlike the convention methodologies, it does not require lyrics or longprocesses of searching and immediately provides the user with results. Upon identifying the song, it can now be replayed tohim, such that he can have an interactive experience. Apart from the song identification, the system also increases the user'sexperience by giving him personalized recommendations based on similar melodies. This feature lets users find new musiceasily and expand their taste without even trying. The approach here is natural language processing andor machine learning,so the system learns and develops with time. Learning from the interactions of the user, the system improves in terms ofaccuracy and enhances its ability by making service better at the time when it is used repeatedly. This innovative solutionsaves time as well as helps users reconnect to old melodies and discover new music. It defines the way people may interactwith music as it facilitates an efficient, creative, and enjoyable method of song identification. By integrating technology andcreativity, the system stands as a testament to the evolving relationship between humans and music. Ultimately, it simplifiesmusic discovery and brings melodies to life with just a hum.
Copyright
Copyright © 2024 Aditya S. This is an open access article distributed under the Creative Commons Attribution License.
