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.

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.

The present disclosure discloses a lyrics page generation method and a lyrics page generation apparatus, belonging to the field of network technologies. The method includes: receiving a lyrics page generation instruction, the lyrics page generation instruction being used for instructing to display a lyrics page of a selected multimedia file list; obtaining a lyrics file of at least one multimedia file in the multimedia file list; and generating a lyrics page according to the lyrics file of the at least one multimedia file, the lyrics page including lyrics information of the at least one multimedia file. The present disclosure provides a brand-new lyrics display manner, which can achieve an effect similar to a lyrics book, so that a user can collect lyrics that the user likes, for subsequent appreciation, so that an application becomes more humanistic, and an amount of information that a lyrics page can provide is greatly increased.

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.

User interface techniques provide user vocalists with mechanisms for seeding subsequent performances by other users (e.g., joiners). A seed may be a full-length seed spanning much or all of a pre-existing audio (or audiovisual) work and mixing, to seed further contributions of one or more joiners, a user's captured media content for at least some portions of the audio (or audiovisual) work. A short seed may span less than all (and in some cases, much less than all) of the audio (or audiovisual) work. For example, a verse, chorus, refrain, hook or other limited “chunk” of an audio (or audiovisual) work may constitute a seed. A seeding user's call invites other users to join the full-length or short-form seed by singing along, singing a particular vocal part or musical section, singing harmony or other duet part, rapping, talking, clapping, recording video, adding a video clip from camera roll, etc. The resulting group performance, whether full-length or just a chunk, may be posted, livestreamed, or otherwise disseminated in a social network.

A system, method and computer product for training a neural network system. The method comprises inputting an audio signal to the system to generate plural outputs f(X, Θ). The audio signal includes one or more of vocal content and/or musical instrument content, and each output f(X, Θ) corresponds to a respective one of the different content types. The method also comprises comparing individual outputs f(X, Θ) of the neural network system to corresponding target signals. For each compared output f(X, Θ), at least one parameter of the system is adjusted to reduce a result of the comparing performed for the output f(X, Θ), to train the system to estimate the different content types. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate various different types of vocal and/or instrument components of an audio signal, depending on which type of component(s) the system is trained to estimate.

A DJ booth for use at events or functions including: a housing; the housing contains sound processing equipment and at least one loudspeaker; and the housing includes wheels at its base for moving the DJ booth across a ground surface. In some embodiments the housing has the outer appearance of a large tape cassette player and further includes a retractable gantry portion which has the appearance of a handle of the tape cassette player.