This disclosure is directed to systems, methods, apparatuses, and techniques that utilize enhanced gesture-based input mechanisms to facilitate rapid creation and editing of digital music compositions. These technologies can be specially designed and configured to optimize creation, editing, and/or sharing of digital music compositions on mobile electronic devices that include capacitive sensing mechanisms. The technologies include multi-gesture functionalities that enable users to view and access various notation customization features in a compact space of a mobile device display. Additionally, the technologies encompass improved data storage models that enable underlying notation data to be accessed in multiple operational modes, and permit frequencies or pitches of notations to be accurately generated and incorporated into audio signals.

An electronic musical instrument includes at least one processor that, in accordance with a user operation on an operation unit, obtains lyric data and waveform data corresponding to a first tone color; inputs the obtained lyric data to a trained model so as to cause the trained model to output acoustic feature data in response thereto; generates waveform data corresponding to a singing voice of a singer and corresponding to a second tone color that is different from the first tone color, based on the acoustic feature data outputted from the trained model and the obtained waveform data corresponding to the first tone color; and outputs a singing voice based on the generated waveform data corresponding to the second tone color.

Methods, systems, and media for determining and presenting information related to embedded sound recordings are provided. In some embodiments, the method comprises: receiving a content item; extracting a sound recording from the content item; generating a melody fingerprint of the extracted sound recording; determining whether the melody fingerprint of the extracted sound recording matches one of a plurality of clusters of similar sounding sound recordings in a reference database, wherein each cluster in the plurality of clusters of similar sounding sound recordings is associated with ownership information based on a plurality of ownership information associated with each of the sound recordings in the cluster; in response to determining that the melody fingerprint of the extracted sound recording matches a cluster of similar sounding sound recordings, retrieving ownership information associated with the cluster; mapping the ownership information to the sound recording extracted from the content item; and causing an action to be performed on the content item based on the mapped ownership information

A device for detecting the grip pattern when playing a bowed instrument, having a sensor film arrangeable on the fingerboard for detecting the grip pattern. The sensor film is formed from at least one resistance layer, a conductive layer and a spacer layer arranged in-between, and having an evaluation circuit, by which evaluation circuit the resistance changes of the sensor film caused by the grip pattern are able to be detected. The resistance layer is divided into a number of resistance tracks corresponding to the number of strings of the bowed instrument. The width of each resistance track is formed increasing from one end of the sensor film to the other end of the sensor film, and the upper layer of the sensor film is formed by the conductive layer, and the sensor film has a curvature, corresponding to the arch of the fingerboard.

A computer-implemented method includes obtaining a trained model trained to store a relationship between first performance data and first evaluation data. The first performance data indicates a performance performed by a performer. The first evaluation data indicates a first evaluation of the performance. The first evaluation has been made by an audience who has received the performance. The method also includes obtaining second performance data. The method also includes processing the second performance data using the trained model to make an inference of a second evaluation of the second performance data. The method also includes outputting second evaluation data indicating the inference of the second evaluation.

Embodiments are disclosed for determining an answer to a query associated with a graphical representation of data. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including an unprocessed audio sequence and a request to perform an audio signal processing effect on the unprocessed audio sequence. The one or more embodiments further include analyzing, by a deep encoder, the unprocessed audio sequence to determine parameters for processing the unprocessed audio sequence. The one or more embodiments further include sending the unprocessed audio sequence and the parameters to one or more audio signal processing effects plugins to perform the requested audio signal processing effect using the parameters and outputting a processed audio sequence after processing of the unprocessed audio sequence using the parameters of the one or more audio signal processing effects plugins.

A tool is needed for music instrument learners to get feedbacks on the correctness of their performances of a particular piece of music. The invention disclosed here is such a tool that can provide music instrument players instant feedback on note pitch and rhythms accuracy based on sheet music. This is accomplished through audio signal processing, sheet music image processing, and conversion of both analogue images and audio signals into standard digital music representation so a comparison can be done and hence a feedback can be presented to the player. An advanced feature will allow users to save the data to the cloud and retrieve later for comparison of progress. It also will allow user to participate an online competition with other players of the same piece of music.

An electronic percussion instrument, a stroke detection device, and a stroke detection method which can improve stroke detection accuracy are provided. A thickness dimension (L2) of an upper cover part (5b1) is approximately constant from the inner circumferential side to the outer circumferential side in a region facing the upper surface of an outer circumferential part (4b3) of the frame bow part (4b) (a concave part formed according to a level difference between a bent part (4b2) and the outer circumferential part (4b3)). Accordingly, the entire upper cover part (5b1) is easily deformed such that it is bent when struck, and thus a protrusion part (5b3) can be securely pressed to an edge sensor (7b) according to deformation of the upper cover part (5b1). Therefore, the accuracy of detection of a stroke applied to the upper cover part (5b1) can be improved.

A method of determining a data output timing, performed by at least one processor in an information processing device for an electronic musical instrument includes, via the at least one processor: obtaining data of a first performance operation on the electronic musical instrument by a user; obtaining data of a second performance operation on the electronic musical instrument by the user; and determining the data output timing for outputting a data to the user based on a time interval between the first and second performance operations.

A system of generating a model for estimation is a system that generates the model for estimation used for estimation based on information about musical pieces, the system including: a learning data acquiring unit configured to acquire learning information in which information about audio data of a plurality of musical pieces having sequences is aligned in a dimension of the sequences in order of the sequences that is learning data used for machine learning; and a model generating unit configured to generate the model for estimation by performing machine learning using the learning information as an input to the model for estimation performing convolution using a kernel in the dimension of the sequences.