A computer-implemented method includes: providing backing track audio data, wherein each backing track includes information of at least: song tempo, tonal content that is synchronized with the backing track audio, selecting a song, receiving a real-time audio signal of the user's performance, estimating parameters, based on the audio signal, including at least: playing activity of the user, wherein detecting whether the user is producing any sounding notes with a musical instrument, tempo of the user's playing, and playing position of the user within the selected song, estimating the reliability of the estimated tempo and play position of the user, wherein a value of the reliability represents the probability that the amount of error in the estimated user tempo and play position is sufficiently small, and when the estimated reliability of the user position and tempo is sufficiently high, start playing the backing track at the user position and tempo.

Systems, methods, and apparatuses for implementing “Band Karaoke” as a platform to make music creation, either alone or in groups, more accessible to novice level participants, are described herein. More particularly, there is described, a specially configured system for systematically generating skill adapted musical arrangements on a per-user basis of a common musical piece for the collective performance by the users as an ad-hoc band. Other related embodiments are disclosed.

Disclosed is a random music or rhythm generator comprised of software and hardware that serves to augment the creativity of human musicians when creating musical compositions. The generator considers anatomical restrictions when creating music in order to generate humanly playable musical compositions. The generator also features extra components and features which allow musicians to configure, customize, randomize, and share their musical compositions.

A multifunctional microphone, includes a controlling mainboard; a sound collector electrically connected with the controlling mainboard; a speaker electrically connected with the controlling mainboard; and a sound adjusting module arranged on the controlling mainboard and configured to adjust sound collected by the sound collector.

A method for accompaniment purity class evaluation and related devices are provided. Multiple first accompaniment data and a label corresponding to each of the multiple first accompaniment data are obtained, the label being used to indicate that corresponding first accompaniment data is pure instrumental accompaniment data or instrumental accompaniment data with background noise. An audio feature of each of the multiple first accompaniment data is extracted. Model training is performed according to the audio feature of each of the multiple first accompaniment data and the label corresponding to each of the multiple first accompaniment data, to obtain a neural network model for accompaniment purity class evaluation, a model parameter of the neural network model being determined according to an association relationship between the audio feature of each of the multiple first accompaniment data and the label corresponding to each of the multiple first accompaniment data.

The methods and systems described herein aid users by modifying the presentation of content to users. For example, the methods and systems suppress the dialogue track of a movie when the user engages with the content by reciting a line of the movie as it is presented to the user. Words spoken by the user are detected and compared with the words in the movie. When the user is not engaging with the movie by reciting the lines or humming tunes while watching the movie, the audio track of the movie is not modified. Content can be modified in response to engagement by a single user or by multiple users (e.g., each reciting lines of a different character in a movie). Accordingly, the methods and systems described herein provide increased interest in and engagement with content.

Disclosed is a system for assessing quality of a singing voice singing a song. The system comprises memory and at least one processor. The memory stores instructions that, when executed by the at least one processor, cause the at least one processor to receive a plurality of inputs comprising a first input and one or more further inputs, each input comprising a recording of a singing voice singing the song, to determine, for the first input, one or more relative measures of quality of the singing voice by comparing the first input to each further input; and to assess quality of the singing voice of the first input based on the one or more relative measures. Also disclosed is a method implemented on such a system.

A method according to one aspect of the present disclosure includes acquiring verbal data representing a verbal expression corresponding to a sound reproduced by an acoustic device, and displaying, on a display device, motion graphics including the verbal expression corresponding to the sound reproduced by the acoustic device in a form of a text in accordance with the verbal data. The displaying the motion graphics on the display device includes selecting a type of motion graphics that relates to the verbal expression corresponding to the reproduced sound from among various types of motion graphics and displaying the selected type of motion graphics on the display device.

A messaging system that extracts accompaniment portions from songs. Methods of accompaniment extraction from songs includes receiving an input song that includes a vocal portion and an accompaniment portion, transforming the input song to an input image, where the input image represents the frequencies and intensities of the input song, processing the input image using a convolutional neural network (CNN) to generate an output image, and transforming the output image to an output accompaniment, where the output accompaniment includes the accompaniment of the input song.

Disclosed herein are method, system, and computer program product embodiments for performing the continuous tuning of received audio input from an earpiece or microphone especially customized for karaoke singing, wherein the audio input may be mixed with user-selected song input, and the joint mixed input is independently altered in the frequency domain for output to an earpiece worn by a user as well as separately for an additional audio output to an external connected speaker, for an optimal karaoke experience.