The present disclosure relates to an interactive music player, the interactive music player adapted to allow a user to control and mix a plurality of simultaneously played audio tracks. The present disclosure also relates to a corresponding method and computer program product.

A method for adjusting accompaniment music is disclosed. The method transposes the musical key of at least one section of the accompaniment music such that a song will have different musical key transpositions for different sections of the accompaniment music, so that singers whose vocal ranges are narrow can sing songs after the adjustment.

A performance analysis method realized by a computer includes sequentially estimating performance positions within a musical piece by an analysis process applied to an audio signal representing a performance sound of the musical piece, and setting a performance position at a first time point on a time axis within the musical piece to a performance position corresponding to a time series of the performance positions estimated by the analysis process in a selection period prior to and spaced away from the first time point within the musical piece.

The invention provides a system and a computer-implemented method for generating and editing a video including providing a mobile communication device comprising a camera, a display, a central processing unit (CPU), a video generating application and a memory. Next, starting the video generating application, and then opening the camera and providing camera tutorials. The camera tutorials comprise instructions for camera positioning, camera moving, and camera aligning while taking videos. Next, taking videos of a scene following the instructions for camera positioning, camera moving, and camera aligning while taking videos. Next, uploading the videos to the memory, editing the videos and producing a composite video for the scene. The camera tutorials include a “moving forward/backward” tutorial directing a user first to hold the camera still, to align a horizontal view line in the display with a marker line, and then to move the user's body forward or backward while taking a video of the scene. The editing of the videos includes slowing the videos down, and matching rhythm of music accompanying each video to transitions of consecutive videos. The slowing down of the videos includes removing every other frame.

Voice command type entry used as a basis for applying “audio effects” (see definition herein), “sound effects” (see definition herein) and/or audio edits (see definition herein) to a sound signal. This may be done so that the various types of instructed audio processing evoke, in typical listeners, a desired sentiment or mood. Artificial intelligence may be used to accomplish this objective.

An electronic-drum module for connection to one or more electronic-drum pads is provided. The module includes an electronic display; a first memory storing audio files for playback when the playback is triggered by a signal received from a pad; and one or more processors coupled to the display and the memory. The processors are configured receive an instruction to transfer a set of samples. The set of samples is associated with a priority-instruction and includes a first subset of samples and a second subset of samples. The processors are also configures to transfer the first subset of samples from a second memory to the first memory based on the priority-instruction before transferring the second subset of samples and to transfer the second subset of samples from the second memory to the first memory.

An electronic-drum module for connection to one or more electronic-drum pads is provided. The module includes an electronic display; a first memory storing audio files for playback when the playback is triggered by a signal received from a pad; and one or more processors coupled to the display and the memory. The processors are configured receive an instruction to transfer a set of samples. The set of samples is associated with a priority-instruction and includes a first subset of samples and a second subset of samples. The processors are also configures to transfer the first subset of samples from a second memory to the first memory based on the priority-instruction before transferring the second subset of samples and to transfer the second subset of samples from the second memory to the first memory.

A method for processing information, terminal device and a computer storage medium are disclosed. The method for processing information includes that: a first control instruction is acquired, and a first application is switched to a preset mode according to the first control instruction; a first triggering operation is acquired based on the preset mode, at least two pieces of multimedia data are selected based on the first triggering operation, and a first playing interface is generated; when a second control instruction is acquired, the at least two pieces of multimedia data in the first playing interface are sequentially played; in a process of playing first multimedia data in the at least two pieces of multimedia data, first audio data is acquired; and the first multimedia data and the first audio data are synthesized as second multimedia data.

An external extended device, an audio processing method and an audio playback method are provided. The external extended device is configured to receive power supplied and a signal transmitted by a television device and the external extended device includes: an integrated physical interface connecting the external extended device and the television device; and a sound-mixing processing chip electrically connected with the integrated physical interface and configured to: acquire an accompaniment audio signal transmitted by the television device via the integrated physical interface; perform sound-mixing processing on a user voice signal gathered by a microphone device and the accompaniment audio signal; and transmit a sound-mixed signal to a power amplifier circuit of the television device via the integrated physical interface.

Digital signal processing and machine learning techniques can be employed in a vocal capture and performance social network to computationally generate vocal pitch tracks from a collection of vocal performances captured against a common temporal baseline such as a backing track or an original performance by a popularizing artist. In this way, crowd-sourced pitch tracks may be generated and distributed for use in subsequent karaoke-style vocal audio captures or other applications. Large numbers of performances of a song can be used to generate a pitch track. Computationally determined pitch trackings from individual audio signal encodings of the crowd-sourced vocal performance set are aggregated and processed as an observation sequence of a trained Hidden Markov Model (HMM) or other statistical model to produce an output pitch track.