Various embodiments provide techniques for generating real-time musical accompaniment for musical content included in an audio signal. A real-time musical accompaniment system receives the audio signal via an audio input device. The system extract, from the audio signal, musical information characterizing at least a portion of the musical content. The system generates musical information that has at least one of a rhythmic relationship and a harmonic relationship with the musical information. The system generates an output audio signal that is complementary to the musical information. The system transmits, substantially immediately after receiving the audio signal, the output audio signal to an audio output device.

Various embodiments provide techniques for generating real-time musical accompaniment for musical content included in an audio signal. A real-time musical accompaniment system receives the audio signal via an audio input device. The system extract, from the audio signal, musical information characterizing at least a portion of the musical content. The system generates musical information that has at least one of a rhythmic relationship and a harmonic relationship with the musical information. The system generates an output audio signal that is complementary to the musical information. The system transmits, substantially immediately after receiving the audio signal, the output audio signal to an audio output device.

Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

Example methods, apparatus and articles of manufacture to determine semantic information for audio are disclosed. Example apparatus disclosed herein are to process an audio signal obtained by a media device to determine values of a plurality of features that are characteristic of the audio signal, compare the values of the plurality of features to a first template having corresponding first ranges of the plurality of features to determine a first score, the first template associated with first semantic information, compare the values of the plurality of features to a second template having corresponding second ranges of the plurality of features to determine a second score, the second template associated with second semantic information, and associate the audio signal with at least one of the first semantic information or the second semantic information based on the first score and the second score.

The present disclosure provides a rhythm point detection method and apparatus and an electronic device, and relates to the technical field of music analysis. The method includes that: an audio signal to be detected is acquired, and an audio feature curve is generated according to the audio signal to be detected; a music style of the audio signal to be detected is determined; a detection peak threshold and a detection frame width threshold are determined according to the music style of the audio signal to be detected; and a rhythm point of the audio feature curve is determined according to the detection peak threshold and the detection frame width threshold.

The present disclosure provides a rhythm point detection method and apparatus and an electronic device, and relates to the technical field of music analysis. The method includes that: an audio signal to be detected is acquired, and an audio feature curve is generated according to the audio signal to be detected; a music style of the audio signal to be detected is determined; a detection peak threshold and a detection frame width threshold are determined according to the music style of the audio signal to be detected; and a rhythm point of the audio feature curve is determined according to the detection peak threshold and the detection frame width threshold.

Robotic drummers include voice coil actuators that are coupled to linear-to-rotary motion convertors to produce drumstick rotations so as to strike a drum head. Such rotations can be triggered via a microprocessor using stored performance data, by a user with a mouse, trackpad, joystick, or other user input device. Performances are enhanced by driving the VCA with drive signals have random variations associated with strike timing, amplitude, location, and speed. Multiple strikes are provided by reducing, eliminating, or reversing drumstick rotation with a corresponding drive signal upon detection of drumstick contact with the drum head.

Robotic drummers include voice coil actuators that are coupled to linear-to-rotary motion convertors to produce drumstick rotations so as to strike a drum head. Such rotations can be triggered via a microprocessor using stored performance data, by a user with a mouse, trackpad, joystick, or other user input device. Performances are enhanced by driving the VCA with drive signals have random variations associated with strike timing, amplitude, location, and speed. Multiple strikes are provided by reducing, eliminating, or reversing drumstick rotation with a corresponding drive signal upon detection of drumstick contact with the drum head.

Indicating what should be played in a piece of music with a music document, including: displaying a part of the music document when a user plays the piece; receiving a real-time audio signal of the playing; automatically determining a playing position within the piece of music based on the real-time audio signal; automatically scrolling the music document on a display depending on the playing position; estimating at least the following from the real-time audio signal: activity; tonality; and tempo used in automatically determining the playing position determined from playing speed of the user. The estimating of the activity includes detecting whether the user is producing any sounding notes. The estimating of the tonality is based on an array of chord models that represent different chords that appear in the music document and allow calculating the probability that the corresponding chord is being played in various real-time audio signal segments.

A content control device includes: a plurality of controls to which a plurality of parameters for controlling properties of a content containing at least one of sound and video are respectively assigned, each of the plurality of controls outputting a first indicated value in accordance with an operation amount of the control; and a processor configured to previously create setting information used to determine respective values of the plurality of parameters in accordance with the second indicated value; determine the values of the plurality of parameters corresponding to the second indicated value respectively in accordance with the second indicated value and the setting information; and revise each of the values of the parameters to be determined in accordance with the first indicated value outputted for the control assigned to the parameter.