Disclosed are a method for selecting background music and capturing a video, a device, a terminal apparatus, and a medium. The method includes: a music viewing instruction is acquired in a process of playing a video; a music detail corresponding to a background music fragment used by the video is displayed according to the music viewing instruction; a same-style capturing instruction is acquired, and a starting point of the background music fragment in a whole piece of music is acquired according to the same-style capturing instruction; a capturing instruction is acquired, and a video capturing is performed on a target scene according to the capturing instruction until a capturing stop instruction is acquired, and a corresponding video is acquired; and a corresponding music fragment is acquired, so the music fragment and the acquired video are synthesized to obtain a target video.

An automated music composition and generation system provided with a system user interface enabling system users to review, select and provide one or more musical experience descriptors as well as time and/or space parameters, to an automated music composition and generation engine, operably connected to the system user interface. The automated music composition and generation engine includes a musical kernel generation subsystem for automatically analyzing and saving musical kernel elements automatically abstracted from the digital piece of music. The abstracted musical kernel elements distinguish the digital piece of music from any other digital piece of music automatically composed and generated by the automated music composition and generation system, and serve as a music kernel definition of the digital piece of composed music, which can be subsequently used during future automated music composition and generation processes, and in future music production environments, to replicate the digital piece of composed music at a later time, either with complete or incomplete accuracy, as required or desired by the system user.

A method implemented by a determination engine is provided. The determination engine receives a media dataset comprising target piece music information, target piece audience information, corpus music information, corpus audience information, and corpus preference data. The determination engine determines a subset of the corpus music and preference information and determines at least one surprise factor of the subset of the corpus music and preference information across features at one of a plurality of orders. The determination engine learns a model that estimates a likelihood that time-varying surprise trends across the features achieves a preference level. The determination engine determines at least one surprise factor of the target piece music information across the features at the one of the plurality of orders and predicts, using the model, preference information using the time-varying surprise trends for the target piece music information across the features.

A system and method for synchronizing an audio or MIDI file with a video file are provided. The method includes receiving a first audio or MIDI file, receiving a video file, and operating an audio synchronization module to perform steps of synchronizing the first audio or MIDI file with the video file, marking an event in the video file at a point on a timeline, detecting a first musical key for the event, retrieving a musical stinger or swell from a library, in which the musical stinger or swell is a second audio or MIDI file and is tagged with a second musical key, and the second musical key is relevant to the first musical key, and placing the musical stinger or swell at the point of the timeline marked for the event.

The invention relates to a system for automatically creating a soundtrack, comprising a camera device (1, 1) for recording a user-generated video, at least one wearable sensor (3, 3), and a control unit (2, 2) in communication with the camera device (1, 1) and the at least one wearable sensor (3, 3). The control unit (2, 2) is adapted to generate the soundtrack based on data gathered from the at least one wearable sensor (3, 3) during the recording of the user-generated video. The invention further relates to a method for automatically creating a soundtrack, computer program product, a computer readable memory storage unit computing arrangement or mobile device (1, 11) for executing the method.

Disclosed are a method for selecting background music and capturing a video, a device, a terminal apparatus, and a medium. The method includes: a music viewing instruction is acquired in a process of playing a video; a music detail corresponding to a background music fragment used by the video is displayed according to the music viewing instruction; a same-style capturing instruction is acquired, and a starting point of the background music fragment in a whole piece of music is acquired according to the same-style capturing instruction; a capturing instruction is acquired, and a video capturing is performed on a target scene according to the capturing instruction until a capturing stop instruction is acquired, and a corresponding video is acquired; and a corresponding music fragment is acquired, so the music fragment and the acquired video are synthesized to obtain a target video.

This disclosure relates to a method of displaying triggered by an audio, a computer apparatus, and a storage medium. The method comprises acquiring a background audio carrying a sound effect; playing the background audio, and generating a to-be-triggered area in a display page in response to playing to the sound effect; receiving an input trigger instruction, and detecting whether the trigger instruction matches the to-be-triggered area; displaying the to-be-triggered area according to a first preset effect in response to the trigger instruction matching the to-be-triggered area.

Implementations of the disclosure describe systems and methods that leverage machine learning to automate the process of creating music and effects mixes from original sound mixes including domestic dialogue. In some implementations, a method includes: receiving a sound mix including human dialogue; extracting metadata from the sound mix, where the extracted metadata categorizes the sound mix; extracting content feature data from the sound mix, the extracted content feature data including an identification of the human dialogue and instances or times the human dialogue occurs within the sound mix; automatically calculating, with a trained model, content feature data of a music and effects (M&E) sound mix using at least the extracted metadata and the extracted content feature data of the sound mix; and deriving the M&E sound mix using at least the calculated content feature data.

An automated music composition and generation system and process for producing one or more pieces of digital music, by providing a set of musical energy (ME) quality control parameters to an automated music composition and generation engine, applying certain of the selected musical energy quality control parameters as markers to specific spots along the timeline of a selected media object or event marker by the system user during a scoring process, and providing the selected set of musical energy quality control parameters to drive the automated music composition and generation engine to automatically compose and generate one or more pieces of digital music with control over the specified qualities of musical energy embodied in and expressed by the piece of digital music to composed and generated by the automated music composition and generation engine.

This application relates to an audio synthesis method, a storage medium, and a computer device. The method includes: obtaining a target text; determining a target song according to a selection instruction; synthesizing a self-made song using the target text and tune information of the target song according to a tune control model, the target text being used as the lyrics of the self-made song. The solutions provided in this application improve an audio playback effect.