A method for generating a musical score based on user performance during playing a keyboard instrument may include detecting a status change of a plurality of execution devices of the keyboard instrument. The method may include generating a first signal according to the detected status change. The method may include generating a second signal indicating a plurality of timestamps. The method may include determining a tune of the musical score based on the first signal. The method may include determining a rhythm of the musical score based on the second signal. The method may further include generating the musical score based on the tune and the rhythm of the musical score.

A resonance sound signal generation device comprises a designation receiver that receives designation of a pitch, a sound signal instructor that provides an instruction for generating a sound signal corresponding to the designated pitch, a producer that produces a resonance sound signal representing a resonance sound based on a plurality of pitches, a determiner that determines whether another pitch is designated at a time of designation of one pitch, and a resonance sound instructor that instructs the producer to produce a resonance sound signal of the one pitch and a resonance sound signal of the another pitch based on the one pitch and the another pitch when determination is made that the another pitch is designated at the time of designation of the one pitch, and does not instruct the producer to produce resonance sound signals when determination is made that the another pitch is not designated at the time of designation of the one pitch.

A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks ANNs in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.

A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks ANNs in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.

A special effect synchronization method and apparatus, and a mobile terminal are provided. The method comprises: when a confirmation operation of a user for selecting music for a specified video file is received, downloading a music file selected by the user and a corresponding rhythm information file from a server; when the specified video file is played, playing the music file and adding a special effect according to the rhythm information file; and after the playback of the specified video file is ended, synthesizing the specified video file, the music file, and the special effect, and storing the same. Therefore, the problem of low activity of users due to monotonous matched music files can be solved, and a beneficial effect of improving the activity of users is achieved.

A system and method for providing acoustic output is disclosed, the system comprising a communication device, a processor coupled to the communication device, and a memory coupled to the processor. The processor receives multimedia data associated with a multimedia output stream, extracts audio data based on the multimedia data, and generates a rhythmic data set including time-series acoustic characteristic data based on the extracted audio data. A sequence of visual elements is generated based on the time-series acoustic characteristic data and associated with the respective visual elements in the sequence of visual elements with the multimedia data. The multimedia data for visually displaying the acoustic characteristic data concurrently with the multimedia stream is transmitted to a multimedia output device.

An electronic musical instrument in one aspect of the disclosure includes; a plurality of operation elements to be performed by a user for respectively specifying different pitches; a memory that stores musical piece data that includes data of a vocal part, the vocal part including at least a first note with a first pitch and an associated first lyric part that are to be played at a first timing; and at least one processor, wherein if the user does not operate any of the plurality of operation elements in accordance with the first timing, the at least one processor digitally synthesizes a default first singing voice that includes the first lyric part and that has the first pitch in accordance with data of the first note stored in the memory, and causes the digitally synthesized default first singing voice to be audibly output at the first timing.

A haptic device according to one embodiment can comprise: a database unit for storing acoustic information or receiving the acoustic information from an external device; a control unit for converting the acoustic information into an electrical signal according to a predetermined pattern; a driving unit for generating a motion signal on the basis of the electrical signal; and a transfer unit for transferring a patterned tactile signal to a user by means of the motion signal.

Apparatus, methods, and systems that operate to provide interactive streaming content identification and processing are disclosed. An example apparatus includes a classifier to determine an audio characteristic value representative of an characteristic; a transition detector to detect a transition between a music category and a talk category by comparing the audio characteristic value to a threshold value among a set of threshold values, the set of threshold values corresponding to the music category and the talk category; and a context manager to control a device to initiate extraction of fingerprints, responsive to the detected transition between the music category and the talk category.

A performance control method includes estimating a performance position in a musical piece by analyzing a performance of the musical piece by a performer, causing a performance device to execute an automatic performance in accordance with performance data designating the performance content of the musical piece so as to be synchronized with the progress of the performance position, and controlling the relationship between the progress of the performance position and the automatic performance in accordance with control data that is independent of the performance data.