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CDDB, short for Compact Disc Database, is a database for software applications to look up audio CD information over the Internet. This is performed by a client which calculates a (nearly) unique disc ID and then queries the database. As a result, the client is able to display the artist name, CD title, track list and some additional information. CDDB is a licensed trademark of Gracenote, Inc.
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Quod Libet is a cross-platform free and open-source audio player, tag editor and library organizer. The main design philosophy is that the user knows how they want to organize their music best; the software is therefore built to be fully customizable and extensible using regular expressions and boolean logic. Quod Libet is based on GTK and written in Python, and uses the Mutagen tagging library.
Moodagent is a white label music streaming service that specializes in interactive playlists and personalized music recommendations. The Moodagent brand is developed and owned by the Danish company Moodagent A/S, which has proprietary methods for recognizing emotional and musical characteristics of individual tracks.
MusicDNA, formerly Bach Technology, is a Norwegian company that develops and licenses digital music technology, notably MusicDNA to provide custom, Internet updated multi-media content - like videos, song lyrics, or social media - while audio is played. It has partnered with the company that invented MP3, Fraunhofer Institute for Digital Media Technology (IDMT), for technical expertise. Two of its key investors are former Chief Executive Officer (CEO) at Sony Music Entertainment, Shigeo Maruyama, and MP3's inventor, Karlheinz Brandenburg.
Automatic content recognition (ACR) is a technology used to identify content played on a media device or presented within a media file. Devices with ACR can allow for the collection of content consumption information automatically at the screen level itself, without any user-based input or search efforts. This information may be collected for purposes such as personalized advertising, content recommendations, sale to customer data aggregators and other applications.
Sound recognition is a technology, which is based on both traditional pattern recognition theories and audio signal analysis methods. Sound recognition technologies contain preliminary data processing, feature extraction and classification algorithms. Sound recognition can classify feature vectors. Feature vectors are created as a result of preliminary data processing and linear predictive coding.
References
- ↑ Zisk, Brian (September 13, 2005). Recommendation Engines. Washington, D.C.
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