Music Search Engines
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Music Search Engines
An audio search engine is a web-based search engine which crawls the web for audio content. The information can consist of web pages, images, audio files, or another type of document. Various techniques exist for research on these engines. Types of search Audio search from text Text entered into a search bar by the user is compared to the search engine's database. Matching results are accompanied by a brief description of the audio file and its characteristics such as sample frequency, bit rate, type of file, length, duration, or coding type. The user is given the option of downloading the resulting files. Audio search from image The Query by Example (QBE) system is a searching algorithm that uses content-based image retrieval (CBIR). Keywords are generated from the analysed image. These keywords are used to search for audio files in the database. The results of the search are displayed according to the user preferences regarding to the type of file (wav, mp3, aiff…) or ...
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Search Engine
A search engine is a software system designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). When a user enters a query into a search engine, the engine scans its index of web pages to find those that are relevant to the user's query. The results are then ranked by relevancy and displayed to the user. The information may be a mix of links to web pages, images, videos, infographics, articles, research papers, and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories and social bookmarking sites, which are maintained by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. Any internet-based content that can't be indexed and searched ...
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Spectrogram
A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time. When applied to an audio signal, spectrograms are sometimes called sonographs, voiceprints, or voicegrams. When the data are represented in a 3D plot they may be called ''waterfall displays''. Spectrograms are used extensively in the fields of music, linguistics, sonar, radar, speech processing, seismology, and others. Spectrograms of audio can be used to identify spoken words phonetically, and to analyse the various calls of animals. A spectrogram can be generated by an optical spectrometer, a bank of band-pass filters, by Fourier transform or by a wavelet transform (in which case it is also known as a scaleogram or scalogram). A spectrogram is usually depicted as a heat map, i.e., as an image with the intensity shown by varying the colour or brightness. Format A common format is a graph with two geometric dimensions: one axis represents time, and the other axis r ...
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Video Search Engine
A video search engine is a web-based search engine which crawls the web for video content. Some video search engines parse externally hosted content while others allow content to be uploaded and hosted on their own servers. Some engines also allow users to search by video format type and by length of the clip. The video search results are usually accompanied by a thumbnail view of the video. Video search engines are computer programs designed to find videos stored on digital devices, either through Internet servers or in storage units from the same computer. These searches can be made through audiovisual indexing, which can extract information from audiovisual material and record it as metadata, which will be tracked by search engines. Utility The main use of these search engines is the increasing creation of audiovisual content and the need to manage it properly. The digitization of audiovisual archives and the establishment of the Internet, has led to large quantities of video ...
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Music Information Retrieval
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many real-world applications. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these. Applications MIR is being used by businesses and academics to categorize, manipulate and even create music. Music classification One of the classical MIR research topic is genre classification, which is categorizing music items into one of pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, instrument identification, and music tagging are also popular topics. Recommender systems Several recommender systems for music already exist, but surprisingly few are based upon MIR techniques, instead making use of similarity betwe ...
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Search By Sound
Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam (service), Soundhound (previously Midomi), Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library. These applications take a sample clip of a song, or a user-generated melody and check a music library/music database to see where the clip matches with the song. From there, song information will queried and displayed to the user. These kind of applications are mainly used for finding a song that the user does not already know. Searching by sound is not limited to just identifying songs, but also for identifying melodies, tunes or advertisements, sound library management and video files. Acoustic fingerprinting The way these apps search by sound is through generating an acoustic fingerprint; a digital summary of the sound ...
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Multimedia Search Engine
Multimedia is a form of communication that uses a combination of different content forms such as text, audio, images, animations, or video into a single interactive presentation, in contrast to traditional mass media, such as printed material or audio recordings, which features little to no interaction between users. Popular examples of multimedia include video podcasts, audio slideshows and animated videos. Multimedia also contains the principles and application of effective interactive communication such as the building blocks of software, hardware, and other technologies. Multimedia can be recorded for playback on computers, laptops, smartphones, and other electronic devices, either on demand or in real time (streaming). In the early years of multimedia, the term "rich media" was synonymous with interactive multimedia. Over time, hypermedia extensions brought multimedia to the World Wide Web. Terminology The term ''multimedia'' was ...
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Munax
Munax was a Swedish company that developed a Large Hyper-Parallel Execution (LHPE) search engine system Munax XE. Munax XE, is an all-content search engine and powered nationwide and worldwide public search engines with page, document, audio, video, images, software, and email search. Other customers included vertical search engines and mobile operators. For multimedia, Munax also developed functionality that let the visitors pre-listen to audio and preview videos, making it easier for the visitor to decide what song or video he is looking for before playing it, or visiting the site hosting it. The visitor could also decide to transcode any multimedia file to make it moveable to the mobile phone or any type of multimedia player. History While working as a consultant for larger high tech companies, Jan-Olof Granlund spent his free time working on a specification for a search engine technology. The goal was to (1) develop a number of new algorithms for ranking independent of the ...
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Doreso
Doreso, is an automatic content recognition (ACR) company specialized in music discovery and social TV recognition service for the second screen. Their sound-to-sound music search engine allows users to obtain more detailed information about music and songs by singing, humming or by recording original music. Features The music search currently has three ways of searching music: by identifying a recorded original music fragment; by humming or singing the melody using a microphone; and by direct input of the name of a song or singer. Users can share their search results on Facebook, Twitter or other SNS website and get similar music recommendations. The app also gives information about the song title, its singer and allows you to purchase the song. History The Music Radar team got 1st place in the Query by Singing/Humming (QBSH) task at the Music Information Retrieval Evaluation eXchange (MIREX) in 2012 and 2013. The app was launched at the end of January 2013, supporting quer ...
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Shazam (service)
Shazam is an application that can identify music, movies, advertising, and television shows, based on a short sample played and using the microphone on the device. It was created by London-based Shazam Entertainment, and has been owned by Apple Inc. since 2018. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension. The original UK developer of the app, Shazam Entertainment Limited, was founded in 1999 by Chris Barton, Philip Inghelbrecht, Avery Wang, and Dhiraj Mukherjee. On September 24, 2018, the company was acquired by Apple for a reported $400 million. Overview Shazam identifies songs using an audio fingerprint based on a time-frequency graph called a spectrogram. It uses a smartphone or computer's built-in microphone to gather a brief sample of audio being played. Shazam stores a catalogue of audio fingerprints in a database. The user tags a song for 10 seconds and the application creates an audio fingerprint. Shazam work ...
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Humming
A hum is a sound made by producing a wordless tone with the mouth closed, forcing the sound to emerge from the nose. To hum is to produce such a sound, often with a melody. It is also associated with thoughtful absorption, 'hmm'. A hum has a particular timbre (or sound quality), usually a monotone or with slightly varying tones. There are other similar sounds not produced by human singing that are also called hums, as the sound produced by machinery in operation, such as a microwave, or by an insect in flight. The hummingbird was named for the sound that bird makes in flight which sounds like a hum. Mechanics A 'hum' or 'humming' by humans is created by the resonance of air in various parts of passages in the head and throat, in the act of breathing. The 'hum' that a hummingbird creates is also created by resonance: in this case by air resistance against wings in the actions of flying, especially of hovering. Humming in human evolution Joseph Jordania suggested that humm ...
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Singing
Singing is the act of creating musical sounds with the voice. A person who sings is called a singer, artist or vocalist (in jazz and/or popular music). Singers perform music (arias, recitatives, songs, etc.) that can be sung with or without accompaniment by musical instruments. Singing is often done in an ensemble of musicians, such as a choir. Singers may perform as soloists or accompanied by anything from a single instrument (as in art song or some jazz styles) up to a symphony orchestra or big band. Different singing styles include art music such as opera and Chinese opera, Indian music, Japanese music, and religious music styles such as gospel, traditional music styles, world music, jazz, blues, ghazal, and popular music styles such as pop, rock, and electronic dance music. Singing can be formal or informal, arranged, or improvised. It may be done as a form of religious devotion, as a hobby, as a source of pleasure, comfort, or ritual as part of music education or ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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