Abstract: Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

Abstract: Automatic and assisted playlist generation is accomplished by collecting data from users of a world-wide music information system. Attributes of the recordings listened to by users are extracted from data collected when the users access the music information system. The attributes are correlated with other attributes in the system to verify data accuracy. Users can specify a set of attributes of their music collection for automatic generation of a playlist. The playlist can then be further edited, even on devices with a limited display and a few buttons designed for playback of recordings, by re-mapping the functions of the buttons for playlist generation.

Abstract: Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

Abstract: Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.

Abstract: Systems and methods for allowing communication between two or more proximate mobile computing devices. In one method a first device detects the presence of a second device. A signal is sent by a first device for requesting a comparison of the lists of media files. The signal can be sent to a second device (or to a server over a wireless network) and may include the list of media files associated with the first device. The second device sends a list of media files to the first device after receiving the signal. An alert is outputted if a list of media files associated with the first device is determined to be comparable to a list of media files associated with the second device based on one or more predefined parameters.

Abstract: Broadcast music, or other audio that a user wants to hear, is recorded based on criteria obtained from a user. Any of a plurality of techniques may be used to identify the audio, alone or in combination with other identification techniques, including length of song, fingerprint recognition of digital or analog audio, scheduled programming, or metadata transmitted in the same or an adjacent channel or frequency. The criteria used to determine whether to save a recording may be based on attributes included in the identification database, such as artist, genre, popularity, station programming, year, signal quality, etc. The audio selected by a user for listening may be recorded, or a programmable tuner or other input selector may automatically record desired music regardless of whether the music is being output for listening. The audio recorded may be obtained from any source, including analog and digital radio, Internet radio streams and removable pre-recorded media.

Abstract: Automatic and assisted playlist generation is accomplished by collecting data from users of a world-wide music information system. Attributes of the recordings listened to by users are extracted from data collected when the users access the music information system. The attributes are correlated with other attributes in the system to verify data accuracy. Users can specify a set of attributes of their music collection for automatic generation of a playlist. The playlist can then be further edited, even on devices with a limited display and a few buttons designed for playback of recordings, by re-mapping the functions of the buttons for playlist generation.

Abstract: Copies of original sound recordings are identified by extracting features from the copy, creating a vector of those features, and comparing that vector against a database of vectors. Identification can be performed for copies of sound recordings that have been subjected to compression and other manipulation such that they are not exact replicas of the original. Computational efficiency permits many hundreds of queries to be serviced at the same time. The vectors may be less than 100 bytes, so that many millions of vectors can be stored on a portable device.