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  2. Shazam (music app) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(music_app)

    Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension.

  3. Music information retrieval - Wikipedia

    en.wikipedia.org/wiki/Music_information_retrieval

    Formal methods and databases — applications of automated music identification and recognition, such as score following, automatic accompaniment, routing and filtering for music and music queries, query languages, standards and other metadata or protocols for music information handling and retrieval, multi-agent systems, distributed search)

  4. Optical music recognition - Wikipedia

    en.wikipedia.org/wiki/Optical_music_recognition

    Optical music recognition relates to other fields of research, including computer vision, document analysis, and music information retrieval. It is relevant for practicing musicians and composers that could use OMR systems as a means to enter music into the computer and thus ease the process of composing , transcribing , and editing music.

  5. List of online music databases - Wikipedia

    en.wikipedia.org/wiki/List_of_online_music_databases

    Music website that has established itself as a go-to platform for finding lyrics. Sound Credit: Credits Multimodal platform for entering and editing music credits with a datahub that includes a database upload option. Database uploads are free, and is free to view. WhoSampled: Sample identification

  6. Musipedia - Wikipedia

    en.wikipedia.org/wiki/Musipedia

    The latter can identify short snippets of audio (a few seconds taken from a recording), even if it is transmitted over a phone connection. Shazam uses Audio Fingerprinting for that, a technique that makes it possible to identify recordings. Musipedia, on the other hand, can identify pieces of music that contain a given melody.

  7. AcoustID - Wikipedia

    en.wikipedia.org/wiki/AcoustID

    Since the future of the free identification service was uncertain, a replacement for it was sought. The Chromaprint acoustic fingerprinting algorithm, the basis for AcoustID identification service, was started in February 2010 by a long-time MusicBrainz contributor Lukáš Lalinský. [6] The oldest entry in the DB is from 8 Oct 2010. [7]

  8. AmpliFIND - Wikipedia

    en.wikipedia.org/wiki/AmpliFIND

    This code does not contain any acoustic information; rather, it enables a computer program to retrieve identifying information (such as the song title and recording artist) from the MusicDNS database. The PUID code is a short, alphanumeric string based on the universally unique identifier standard.

  9. Tunatic - Wikipedia

    en.wikipedia.org/wiki/Tunatic

    Tunatic is a freeware music identification program developed by Sylvain Demongeot for Windows and Mac OS.. The software analyzes a song by recording it via microphone or just by playing it through the sound card, and then it sends the data online to its database where it searches for a match.