A reproduction control method, which is executed by a computer, includes detecting a first state in which an object is separated from an operation surface by a prescribed distance and a second state in which the object is in contact with the operation surface, initiating sound reproduction at a first time point at which the first state is detected, continuing the sound reproduction from the first time point to a third time point which is subsequent to a second time point at which the second state is detected, and controlling a change in a feature amount of a sound during a first time period from the first time point to the second time point.

The present disclosure provides a method for chorus mixing, an apparatus, an electronic device and storage media. The method includes converting a main vocal audio signal and a chorus audio signal into signals in frequency domain, respectively, wherein the chorus audio signal comprises main vocal audio played by a speaker; determining a delay between the main vocal audio signal and the chorus audio signal based on a frequency-domain signal of the main vocal audio signal and a frequency-domain signal of the main vocal audio played by the speaker included in a frequency-domain signal of the chorus audio signal; aligning the chorus audio signal with the main vocal audio signal based on the determined delay; performing an echo cancellation on the aligned chorus audio signal; and mixing audio of the main vocal audio signal and the echo-canceled chorus audio signal.

A method generates a sound signal in accordance with score data representative of respective durations of a plurality of notes and a shortening indication to shorten a duration of a specific note. The method includes generating a shortening rate, generating a series of control data, and generating a sound signal. The shortening rate is representative of an amount of shortening of the duration of the specific note, and is generated, by inputting, to a first estimation model, condition data representative of a sounding condition specified by score data for the specific note. Each of the series of control data is representative of a control condition of the sound signal corresponding to the score data, and the series of control data reflects a shortened duration of the specific note shortened in accordance with the generated shortening rate. The sound signal is generated in accordance with the series of control data.

A trained model establishment method realized by a computer includes acquiring a plurality of datasets each of which is formed by a combination of first performance data of a first performance by a performer, second performance data of a second performance performed together with the first performance, and a satisfaction label indicating a degree of satisfaction of the performer, and executing machine learning of a satisfaction estimation model by using the plurality of datasets. In the machine learning, the satisfaction estimation model is trained such that, for each of the datasets, a result of estimating a degree of satisfaction the performer from the first performance data and the second performance data matches the degree of the satisfaction indicated by the satisfaction label.

A performance agent training method realized by at least one computer includes observing a first performance of a musical piece by a performer, generating, by a performance agent, performance data of a second performance to be performed in parallel with the first performance, outputting the performance data such that the second performance is performed in parallel with the first performance of the performer, acquiring a degree of satisfaction of the performer with respect to the second performance performed based on the output performance data, and training the performance agent by reinforcement learning, using the degree of satisfaction as a reward.

A displacement sensor includes: a detectable portion: including a first coil; and being disposed on a movable member that is displaceable in response to an operation; and a signal generator: including a second coil that opposes the first coil; and being configured to generate a detection signal based on a relative position between the first coil and the second coil. A first distance from a first end of the first coil to a second end of the first coil in a first direction differs from a second distance from a third end of the first coil to a fourth end of the first coil in a second direction perpendicular to the first direction when the first coil is viewed in plan view.

An intelligent system for matching audio with video of the present invention provides a video analysis module targeting color tone, storyboard pace, video dialogue, length and category and director's special requirement, actors expression, movement, weather, scene, buildings, spacial and temporal, things and a music analysis module targeting recorded music form, sectional turn, style, melody and emotional tension, and then uses an AI matching module to adequately match video of the video analysis module with musical characteristics of the music analysis module, so as to quickly complete a creative composition selection function with respect to matching audio with a video.

The present invention provides a band-pass filtering adaptive response method and system for music lamp strip. The method comprises the following steps: Step 1: obtaining sound data acquired by a microphone in real time, and sequentially filtering the obtained sound data through a low-pass filter; Step 2: classifying the filtered sound data by a volume classifier, so as to classify the continuous changes of sound into a number of discrete classifications; Step 3: determining a BPM of the sound data according to a classification result of the volume classifier; Step 4: determining a acquisition frequency of MCU according to the determined BPM; Step 5: acquiring the classification result of the volume classifier by MCU according to the determined acquisition frequency; Step 6: controlling color change and/or brightness change of LED lamp on the music lamp strip according to the classification result acquired by MCU.

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.

The presence of saxophonists furthering their musical horizons by playing keyboard instruments inspires the invention of a novel device to connect a light-weight keyboard or MIDI grid controller to a saxophone to facilitate the convenient and rapid switching between playing either instrument. Battery power and Bluetooth technology combine with innovations in plastics technology to facilitate the creation of strong, lightweight structures to facilitate such a device. With the addition of looping software on a laptop computer, a saxophonist so equipped can create music to accompany themselves, obviating the need for other musicians to function as a musical ensemble. This innovation may be the harbinger for other musicians on other single note instruments—trumpet, trombone, violin, etc. to join this trend using either instrument-attached, strap-on or wearable keyboards. This could blend the boundaries between acoustic and electronic instruments, and increase the enjoyment and musical enrichment of musicians and audiences alike.