This application provide an audio detection method performed by a computer device. The method includes: acquiring a target time point and a reference point of the target time point from target audio data; performing energy evaluation on the target time point according to an audio amplitude value of the target time point to obtain an energy evaluation value of the target time point; performing energy evaluation on the reference point according to an audio amplitude value of the reference point to obtain an energy evaluation value of the reference point; performing accuracy verification on the target time point according to the energy evaluation value of the target time point and the energy evaluation value of the reference point; and if the accuracy verification on the target time point succeeds, adding the target time point as a target stress point into a target stress point set.

Music compilation methods disclosed herein include providing a database. Data is stored therein associating a user with access credentials for a plurality of music streaming services. A first server is communicatively coupled with the database and with multiple third party servers each of which includes a music library associated with the user. A list is stored in the database listing audio tracks of the libraries. A play selector is displayed on a user interface of a computing device communicatively coupled with the first server. User selection of the play selector initiates playback of a sample set, the sample set including portions of audio tracks in the list. The sample set is determined based on contextual information gathered by the computing device, the contextual information not including any user selection. Music compilation systems disclosed herein include systems configured to carry out the music compilation methods.

A system and method for media content sequencing. Prior tracks for a listening session are segmented into groups based on attribute scores for an audial attribute. A preferred group is then selected, which can be based on user feedback regarding the prior tracks in the listening session. Candidate tracks, such as from a candidate track pool for future playback in the listening session, are also segmented into the groups of the prior tracks. The candidate tracks can then be ranked based on their associated group and the preferred group.

A specialized audio/instrument cable with built-in digital signal processing capabilities that adds digital audio sampling capabilities that allows the user to trigger synthesized sounds or virtual musical instruments from within the cable itself to affect the sound generated from an instrument or microphone such that the cable is the only connection needed between the instrument or microphone and an output device. Using voice recognition, the specialized cable can select an audio effects chain algorithm and/or sampled sound algorithm extrapolated from a musical digital audio fingerprint (MDAF) created from a desired musician's instrument to alter the sound of the input instrument's audio.

Musical catalog amplification services that leverage or deploy a computer-based musical composition system are described. The computer-based musical composition system employs algorithms and, optionally, artificial intelligence to generate new music based on analyses of existing music. The new music may be wholly distinctive from, or may include musical variations of, the existing music. Rights in the new music generated by the computer-based musical composition system are granted to the rights holder(s) of the existing music. In this way, the musical catalog(s) of the rights holder(s) is/are amplified to include additional music assets. The computer-based musical composition system may be tuned so that the new music sounds more like, or less like, the existing music of the rights holder(s). Revenues generated from the new music are shared between the musical catalog amplification service provider and the rights holder(s).

A method of providing repetitive motion therapy comprising providing access to audio content; selecting audio content for delivery to a patient; performing an analysis on the selected audio content, the analysis identifying audio features of the selected audio content, and extracting rhythmic and structural features of the selected audio content; performing an entrainment suitability analysis on the selected audio content; generating entrainment assistance cue(s) to the selected audio content, the assistance cue(s) including a sound added to the audio content; applying the assistance cues to the audio content simultaneously with playing the selected audio content; evaluating a therapeutic effect on the patient, wherein the selected audio content continues to play when a therapeutic threshold is detected, and a second audio content is selected for delivery to the patient when a therapeutic threshold is not detected.

The present invention provides a band-pass filtering adaptive response method and system for music lamp strip. The method comprises the following steps: Step 1: obtaining sound data acquired by a microphone in real time, and sequentially filtering the obtained sound data through a low-pass filter; Step 2: classifying the filtered sound data by a volume classifier, so as to classify the continuous changes of sound into a number of discrete classifications; Step 3: determining a BPM of the sound data according to a classification result of the volume classifier; Step 4: determining a acquisition frequency of MCU according to the determined BPM; Step 5: acquiring the classification result of the volume classifier by MCU according to the determined acquisition frequency; Step 6: controlling color change and/or brightness change of LED lamp on the music lamp strip according to the classification result acquired by MCU.

Systems and methods for viseme data generation are disclosed. Uncompressed audio data is generated and/or utilized to determine the beats per minute of the audio data. Visemes are associated with the audio data utilizing a Viterbi algorithm and the beats per minute. A time-stamped list of viseme data is generated that associates the visemes with the portions of the audio data that they correspond to. An animatronic toy and/or an animation is caused to lip sync using the viseme data while audio corresponding to the audio data is output.

The present invention provides a band-pass filtering adaptive response method and system for music lamp strip. The method comprises the following steps: Step 1: obtaining sound data acquired by a microphone in real time, and sequentially filtering the obtained sound data through a low-pass filter; Step 2: classifying the filtered sound data by a volume classifier, so as to classify the continuous changes of sound into a number of discrete classifications; Step 3: determining a BPM of the sound data according to a classification result of the volume classifier; Step 4: determining a acquisition frequency of MCU according to the determined BPM; Step 5: acquiring the classification result of the volume classifier by MCU according to the determined acquisition frequency; Step 6: controlling color change and/or brightness change of LED lamp on the music lamp strip according to the classification result acquired by MCU.

Exemplary embodiments of the present disclosure are directed towards system for enhancing multimedia content with visual effects based on audio characteristics, comprising computing device comprises multimedia content enhancing module enables end-user to record multimedia content using camera; enables to select audio track and combine with multimedia content recorded; sends audio track and multimedia content recorded to cloud server; cloud server comprising multimedia analyzing and visual effects retrieving module to receive and analyze beat characteristics of audio track and multimedia content recorded; categorize visual effects and filters and deliver to the computing device; multimedia content enhancing module displays categorized visual effects and filters on computing device and enables end-user to select and apply categorized visual effects and filters on multimedia content to create enhanced multimedia content; enables the end-user to share and post enhanced multimedia content on computing device.