The present disclosure provides a method and a system for realizing intelligent matching and adding of rhythmic tracks. In one example, a method is provided, including: pre-storing a plurality of music elements; generating a rhythmic track library according to the plurality of music elements, the rhythmic track library including a plurality of rhythmic tracks based on the plurality of music elements; detecting a BPM of original music, and calculating a time interval between every two beats based on the detected BPM of the original music; selecting one or more rhythmic tracks from the rhythmic track library, and assigning a time parameter to the one or more rhythmic tracks based on the time interval so as to match the rhythm of the original music; and adding the one or more rhythmic tracks assigned with the time parameter into the original music so as to combine with the original music and play.

A method for extracting big beat information from music beat points includes: acquiring at least one candidate beat cycle according to beat points of music; generating at least one beat point sequence corresponding to the candidate beat cycle and calculating a weight of the beat point sequence, wherein two adjacent beat points in the beat point sequence take the candidate beat cycle as an interval; selecting a beat point sequence with a maximum weight from the at least one beat point sequence of the candidate beat cycle as a maximum weight sequence of the candidate beat cycle; and acquiring the big beat information according to the maximum weight sequence of the at least one candidate beat cycle and the corresponding weight.

Techniques are provided for generating an output file. One technique involves the steps of generating audio or MIDI content blocks from one or more musical performances; receiving an input file having audio or MIDI music content; generating a harmonic chord map for the input file; using the harmonic chord map to automatically select a subset of the audio or MIDI content blocks, and generating the output file by combining the selected subset of content blocks and the input file. This technique may enable the creation of unique and new musical accompaniments by re-purposing audio or MIDI content from back catalogs and/or out-takes of musical works. The new arrangement may be provided in multiple music styles, genres, or moods and may contain performances from multiple musical instruments, which may be pre-recorded from live instrument performances and/or of MIDI generated musical content.

Techniques are provided for generating an output file. One technique involves the steps of generating audio or MIDI content blocks from one or more musical performances; receiving an input file having audio or MIDI music content; generating a harmonic chord map for the input file; using the harmonic chord map to automatically select a subset of the audio or MIDI content blocks, and generating the output file by combining the selected subset of content blocks and the input file. This technique may enable the creation of unique and new musical accompaniments by re-purposing audio or MIDI content from back catalogs and/or out-takes of musical works. The new arrangement may be provided in multiple music styles, genres, or moods and may contain performances from multiple musical instruments, which may be pre-recorded from live instrument performances and/or of MIDI generated musical content.

Techniques are provided for generating an output file. One technique involves the steps of generating audio or MIDI content blocks from one or more musical performances; receiving an input file having audio or MIDI music content; generating a harmonic chord map for the input file; using the harmonic chord map to automatically select a subset of the audio or MIDI content blocks, and generating the output file by combining the selected subset of content blocks and the input file. This technique may enable the creation of unique and new musical accompaniments by re-purposing audio or MIDI content from back catalogs and/or out-takes of musical works. The new arrangement may be provided in multiple music styles, genres, or moods and may contain performances from multiple musical instruments, which may be pre-recorded from live instrument performances and/or of MIDI generated musical content.

Provided is a method for processing audio including: acquiring an accompaniment audio signal and a voice signal of a current to-be-processed musical composition; determining a target reverberation intensity parameter value of the acquired accompaniment audio signal, wherein the target reverberation intensity parameter value is configured to indicate a rhythm speed, an accompaniment type, and a performance score of a singer of the current to-be-processed musical composition; and reverberating the acquired vocal signal based on the target reverberation intensity parameter value.

A video display device for displaying a video of distributed content and an avatar, which is a computer-generated image, on a display screen to overlap each other, includes: a communication processing unit connected to a network; an avatar generation processing unit that generates an avatar of another person from avatar information received through the communication processing unit; a movement information detection processing unit that detects movement information of a continuous movement associated with the video of the content received through the communication processing unit; a display unit that displays the content received through the communication processing unit; and a control unit. The avatar generation processing unit generates an avatar by adding the movement information detected by the movement information detection processing unit to a movement of the generated avatar. The control unit displays the avatar generated by the avatar generation processing unit on the display unit to overlap the content.

Sound equipment includes: a beat position acquiring unit configured to analyze a beat position of music piece data to be reproduced or acquire an analysis result; and a beat position displaying unit configured to display a scale of a differential numerical value of the number of beats in a plus direction and a minus direction of the music piece data with reference to a currently reproduced position of the music piece data.

A musical analysis device comprises an electronic controller including at least one processor. The electronic controller is configured to execute a plurality of modules including a detection module configured to detect, using a detection model through a model training process with machine learning, bar lines based on audio information indicating a musical piece, and a correction module configured to correct positions of the bar lines detected by the detection module based on a reference meter identified from the musical piece.

Various implementations disclosed herein include devices, systems, and methods that determine that a user is interested in audio content by determining that a movement (e.g., a user's head bob) has a time-based relationship with detected audio content (e.g., the beat of music playing in the background). Some implementations involve obtaining first sensor data and second sensor data corresponding to a physical environment, the first sensor data corresponding to audio in the physical environment and the second sensor data corresponding to a body movement in the physical environment. A time-based relationship between one or more elements of the audio and one or more aspects of the body movement is identified based on the first sensor data and the second sensor data. An interest in content of the audio is identified based on identifying the time-based relationship. Various actions may be performed proactively based on identifying the interest in the content.