An electronic device and a method for controlling the electronic device are provided. The method includes receiving at least one input sound from a user, determining one of a plurality of reference sounds included in a guide track as a device playing sound corresponding to the at least one input sound, and playing the device playing sound.

An automated music composition and generation system having an automated music composition and generation engine for processing musical experience descriptors and space parameters selected by the system user. The engine includes: a user taste generation subsystem for automatically determining the musical tastes and preferences of each system user based on user feedback and autonomous piece analysis, and maintaining a system user profile reflecting musical tastes and preferences of each system user; and a population taste aggregation subsystem for aggregating the musical tastes and preferences of the population of system users, and modifying the musical experience descriptors and/or time and/or space parameters provided to the automated music composition and generation engine, so that the digital pieces of composed music better reflect the musical tastes and preferences of the population of system users and meet future system user requests for automated music compositions.

A method and system are provided for extracting features from digital audio signals which exhibit variations in pitch, timbre, decay, reverberation, and other psychoacoustic attributes and learning, from the extracted features, an artificial neural network model for generating contextual latent-space representations of digital audio signals. A method and system are also provided for learning an artificial neural network model for generating consistent latent-space representations of digital audio signals in which the generated latent-space representations are comparable for the purposes of determining psychoacoustic similarity between digital audio signals. A method and system are also provided for extracting features from digital audio signals and learning, from the extracted features, an artificial neural network model for generating latent-space representations of digital audio signals which take care of selecting salient attributes of the signals that represent psychoacoustic differences between the signals.

Musical score acquisition section acquires musical score information representing a musical score of a music piece to be practiced by a user. Target portion setting section sets a plurality of portions of the music piece as target portions for training, respectively. Target musical score acquisition section acquires target musical score information indicative of partial musical scores of the respective target portions for training set by the target portion setting section. Display control section controls, on the basis of the target musical score information acquired by the target musical score acquisition section, a display device to display two or more of target musical scores in a side-by-side arrangement. Thus, a user can easily grasp the plurality of target portions for training.

A method includes uploading a plurality of songs to a server; allowing a first user to listen to a selected song from the plurality on an electronic device, the selected song being transmitted across an electronic network from the server; allowing the first user to record a user-generated stem track using the electronic device, the electronic device being located at the user location; without saving the user-generated stem track, transmitting only the user-generated stem track across the electronic network to the server; storing the user-generated stem track on the server; allowing the first user to select a plurality of other individual user-generated stem tracks from the server and combine the selected user-generated stem tracks to form a user-generated cover song; and transmitting an electronic message to other users who generated the other individual user-generated stem tracks, informing them of the combination of their stem tracks to form the cover song.

Methods, devices, systems, and computer programs are presented for providing music while exercising. One method includes an operation for receiving a request for a music segment from a computing device. The request includes the pace of exercise of a user associated with the computing device. The music segment is selected based on the pace, and the music segment is modified to correlate the tempo of the music segment to the pace of exercise. The modified music segment is sent to the computing device to be played in one or more speakers to provide music that is correlated to the exercise.

A motor vehicle includes a source of pieces of music. Each of the pieces of music is associated with respective weather conditions and/or a respective emotional mood. The vehicle includes a source of weather data. The weather data is related to weather conditions in which the motor vehicle is operating. The vehicle includes a source of mood data. The mood data is related to an emotional state of a human user disposed within the motor vehicle. A loudspeaker is disposed within a passenger compartment of the motor vehicle. A processing device is communicatively coupled to each of the source of pieces of music, the source of weather data, the source of mood data, and the loudspeaker. The processing device selects one of the pieces of music dependent upon the weather data and the mood data, and plays the selected piece of music on the loudspeaker.

A system is described that permits identified musical phrases or themes to be synchronized and linked into changing real-world events. The achieved synchronization includes a seamless musical transition—achieved using a timing offset, such as relative advancement of an significant musical “onset,” that is inserted to align with a pre-existing but identified music signature, beat or timebase—between potentially disparate pre-identified musical phrases having different emotive themes defined by their respective time signatures, intensities, keys, musical rhythms and/or musical phrasing. The system operates to augment an overall sensory experience of a user in the real world by dynamically changing, re-ordering or repeating and then playing audio themes within the context of what is occurring in the surrounding physical environment, e.g. during different phases of a cardio workout in a step class the music rate and intensity increase during sprint periods and decrease during recovery periods.

Methods and systems are described that are utilized for remotely controlling a musical instrument. A first digital record comprising musical instrument digital commands from a first electronic instrument for a first item of music is accessed. The first digital record is transmitted over a network using a network interface to a remote, second electronic instrument for playback to a first user. Optionally, video data is streamed to a display device of a user while the first digital record is played back by the second electronic instrument. A key change command is transmitted over the network using the network interface to the second electronic instrument to cause the second electronic instrument to playback the first digital record for the first item of music in accordance with the key change command. The key change command may be transmitted during the streaming of the video data.

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.