A haptic device according to one embodiment can comprise: a database unit for storing acoustic information or receiving the acoustic information from an external device; a control unit for converting the acoustic information into an electrical signal according to a predetermined pattern; a driving unit for generating a motion signal on the basis of the electrical signal; and a transfer unit for transferring a patterned tactile signal to a user by means of the motion signal.

A musical piece inference device includes an electronic controller configured to execute a data acquisition module, an inference module, and an output module. The data acquisition module is configured to acquire target data including an input token sequence that is arranged to indicate at least a part of a musical piece and includes a plurality of bar-line/beat tokens arranged to indicate bar-line/beat positions of at least the part of the musical piece. The bar-line/beat positions are positions of bar lines of at least the part of the musical piece, positions of beats of at least the part of the musical piece, or both. The inference module is configured to, by using a trained inference model, generate an output token sequence indicating a result of an inference with respect to the musical piece from the input token sequence. The output module is configured to output the result of the inference.

Embodiments of the present invention provide for systems and methods for dynamically synthesizing audio files on a mobile device. Embodiments of the present invention are directed to an exemplary audio file recorder with unique music-related features, such as synchronization of multiple pieces of content by the beats per minute, with functionality for content creation, editing, layering of multiple tracks, and sharing. Further, embodiments of the present invention are also related to an exemplary computer software platform which allows users to record any audio into their mobile device and organize the audio files in a manner that allows the files to be easily retrieved and shared.

Embodiments are disclosed for generating an audio segmentation of an audio sequence using deep embeddings. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including an audio sequence and extracting features for each frame of the audio sequence, where each frame is associated with a beat of the audio sequence. The method may further comprise clustering frames of the audio sequence into one or more clusters based on the extracted features and generating segments of the audio sequence based on the clustered frames, where each segment includes frames of the audio sequence from a same cluster. The method may further comprise constructing a multi-level audio segmentation of the audio sequence and performing a segment fusioning process that merges shorter segments with neighboring segments based on cluster assignments.

A system for controlling a plurality of light sources particularly LED's that are provided in a number of different arrangements including a light string and controlled from a controller that includes an input microphone for detecting an audio signal, at least one pre-amplifier, a microcomputer unit receiving signals from the pre-amplifier, and a circuit for driving a plurality of LED and that enables lighting control of the plurality of LED's in accordance with the input audio signal and within a wide dynamic range.

A system and method for providing acoustic output is disclosed, the system comprising a communication device, a processor coupled to the communication device, and a memory coupled to the processor. The processor receives multimedia data associated with a multimedia output stream, extracts audio data based on the multimedia data, and generates a rhythmic data set including time-series acoustic characteristic data based on the extracted audio data. A sequence of visual elements is generated based on the time-series acoustic characteristic data and associated with the respective visual elements in the sequence of visual elements with the multimedia data. The multimedia data for visually displaying the acoustic characteristic data concurrently with the multimedia stream is transmitted to a multimedia output device.

Techniques for selecting portions of audio tracks for content item inclusion are described. For example, a social networking system may receive, from an audio producer, an audio track. In some examples, the social networking system may, using a machine-learned model, determine a first portion of the audio track having a change of frequency over time, and provide the first portion of the audio track to a first user for inclusion in a content item. In some cases, the social networking system may receive a selection of a second portion of the audio track. Based on the selection of the second portion of the audio track, the social networking system may modify the parameters of the machine-learned model to provide the second portion of the audio track to a second user.

Techniques are provided for implementing multi-track audio analysis. In some instances, a plurality of audio tracks are received and combined into a single audio file. A collection of audio file characteristics are extracted from the single audio file. In some examples, the collection of audio file characteristics are associated with of the plurality of audio tracks and the single audio file. Audio characteristic edits are received for revising the collection of audio file characteristics. Metadata associated with each of the plurality of audio tracks and for the single audio file are updated based at least in part on the audio characteristic edits.

A system, method and computer product for combining audio tracks. In one example embodiment herein, the method comprises determining at least one music track that is musically compatible with a base music track, aligning those tracks in time, and combining the tracks. In one example embodiment herein, the tracks may be music tracks of different songs, the base music track can be an instrumental accompaniment track, and the at least one music track can be a vocal track. Also in one example embodiment herein, the determining is based on musical characteristics associated with at least one of the tracks, such as an acoustic feature vector distance between tracks, a likelihood of at least one track including a vocal component, a tempo, or musical key. Also, determining of musical compatibility can include determining at least one of a vertical musical compatibility or a horizontal musical compatibility among tracks.

The embodiments of the disclosure disclose a video special effect processing method and a video special effect processing device. The method includes: detecting music played along with a video during a process of playing the video; acquiring a video frame image to be played in the video when the music is detected to be played at a preset rhythm; performing special effect processing on the target object in the video frame image to obtain a special effect processed video frame image; and displaying and playing the special effect processed video frame image.