An electronic musical instrument having an accompaniment function which detects the sound volume of inputted melody sounds for each sound range, and controls the sound volume of accompaniment sounds for each sound range in accordance with the detected sound volume of the melody sounds for each sound range.

A processor in an audio extraction apparatus performs a preprocessing operation to determine, for a stereo audio source including first channel audio data including an accompaniment sound and a vocal sound for a first channel and second channel audio data including an accompaniment sound and a vocal sound for a second channel, a difference between the first channel audio data and the second channel audio data to generate center cut audio data, and an audio extraction operation to input the first channel audio data, the second channel audio data and the center cut audio data to a trained machine learning model to extract any one of the accompaniment sound and the vocal sound.

In one embodiment, an apparatus comprising a first audio looping device is provided. The first audio looping device is electrically coupled to a computing device. The first audio looping device is programmed to receive a first audio signal from a musical instrument and to store the first audio signal. The first audio looping device is further programmed to playback the stored first audio signal as a first audio loop a number of times and to transmit the first audio loop to a second audio looping device via the first computing device. The first audio looping device is further programmed to receive a second audio loop from the second audio looping device via the computing device.

The present disclosure provides a live stream processing method, apparatus and system, electronic device and a storage medium. The first electronic device acquires target song information provided by second electronic device, and the target song information at least includes a target song identifier. Afterwards, the first electronic device plays the accompaniment audio synchronously with the second electronic device according to a target song identifier when the notification information is received, that is, when the second electronic device plays the accompaniment audio of the target song, and the first electronic device acquires the singing audio sent by the second electronic device through a server. Finally, the first electronic device takes the played accompaniment audio and the singing audio as a live stream and sends the live stream to the server.

This disclosure discloses various computing technologies that enable a user to insert a personal vocal content into an original song in a quick and simple manner, thereby potentially creating a derivative work of the original song. Additionally, these technologies enable a right holder of the original song to monitor the new derivative work in a granular, reliable, de-centralized, and secure manner.

The present disclosure relates to a method and an apparatus for determining a karaoke singing score, and belongs to the technical field of karaoke singing systems. The method includes: capturing a singing audio by an audio capture device upon detection of a karaoke singing instruction to a target song; acquiring a plurality of time units obtained by dividing a preset voice period of the target song; for each time unit, performing time offset adjustment on the time unit based on a preset adjustment duration to obtain at least one offset time unit, determining pitch values corresponding to the time unit and each time offset unit respectively in the captured singing audio, scoring each of the determined pitch values based on a preset reference pitch value of the time unit, and determining the highest score as a score corresponding to the time unit; and determining a total score of the singing audio based on the score corresponding to each time unit. The method and the apparatus have the advantage that scoring accuracy of the singing audio is improved.

The present disclosure provides an audio data processing method performed at an electronic apparatus, the method including: obtaining a corresponding lyric file according to audio data to be processed; dividing the audio data according to a sentence in the lyric file to obtain an audio data segment; extracting data corresponding to an end syllable in the audio data segment; and performing harmonic processing on the data corresponding to the end syllable. In addition, further provided is an audio data processing device matching the method. The audio data processing method and device can prevent entire audio data from being attached with a harmonic sound effect during an entire time period, thereby improving authenticity of harmonic simulation.

It is disclosed a method comprising obtaining a target spectrum, obtaining a set of non-target spectra, the set of non-target spectra comprising one or more non-target spectra, summing the target spectrum and the set of non-target spectra to obtain a mixture spectrum, and training an artificial neural network by using the mixture spectrum as input of the neural network and by using a spectrum which is based on the target spectrum as desired output of the artificial neural network.

A technique determination device according to one embodiment of the present invention comprises an input sound acquisition unit acquiring an input sound, a pitch detection unit detecting a pitch on a time-series basis based on the input sound, a sound-volume detection unit detecting a sound volume on the time series basis based on the input sound, a first starting-point detection unit determining whether variation of the sound volume is equal to or larger than a predetermined threshold for each predetermined period and detecting a starting point of a period in which the variation of the sound volume is equal to or larger than the threshold as a first starting point, and a technique determination unit determining a technique of the input sound based on a change of the sound volume after the first starting point and variation of the pitch after the first starting point.

A method and apparatus for correcting a delay between accompaniment audio and unaccompanied audio, and a storage medium are provided. The method includes: acquiring original audio of a target song, and extracting original vocal audio from the original audio; determining a first delay between the original vocal audio and the unaccompanied audio, and determining a second delay between the accompaniment audio and the original audio; and correcting a delay between the accompaniment audio and the unaccompanied audio based on the first delay and the second delay. Thus, the correction efficiency of the delay between accompaniment audio and unaccompanied audio is improved, and correction mistakes possibly caused by human factors are eliminated, thereby improving the accuracy.