G10H2220/371

METHODS AND DEVICES FOR MODULATING THE TEMPO OF MUSIC IN REAL TIME BASED ON PHYSIOLOGICAL RHYTHMS
20170221463 · 2017-08-03 ·

Described are methods and devices for modulating the tempo of music in real time based on physiological rhythms.

Music selection and adaptation for exercising
09767777 · 2017-09-19 · ·

Methods, devices, systems, and computer programs are presented for providing music while exercising. One method includes an operation for receiving a request for a music segment from a computing device. The request includes the pace of exercise of a user associated with the computing device. The music segment is selected based on the pace, and the music segment is modified to correlate the tempo of the music segment to the pace of exercise. The modified music segment is sent to the computing device to be played in one or more speakers to provide music that is correlated to the exercise.

Adaptive Music Playback System
20210407478 · 2021-12-30 ·

An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.

Repetitive-motion activity enhancement based upon media content selection
11211098 · 2021-12-28 · ·

Systems, devices, apparatuses, components, methods, and techniques for repetitive-motion activity enhancement based upon media content selection are provided. An example media-playback device for enhancement of a repetitive-motion activity includes a media-output device that plays media content items, a plurality of media content selection engines, and a repetitive-activity enhancement mode selection engine. The plurality of media content selection engines includes a cadence-based media content selection engine and an enhancement program engine. The cadence-based media content selection engine is configured to select media content items based on a cadence associated with the repetitive-motion activity. The enhancement program engine is configured to select a media content items according to an enhancement program for the repetitive-motion activity. The repetitive-activity enhancement mode selection engine is configured to select a media content selection engine from the plurality of engines and to cause the media-output device to playback media content items selected by the selected engine.

INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM
20210383714 · 2021-12-09 · ·

There is provided an information processing device, an information processing method, and a program that can provide an information processing device, an information processing method, and a program that can effectively assist in learning performance. The information processing device includes a sensing data obtaining section configured to obtain sensing data regarding at least one of a motion pattern, a motion speed, a motion accuracy, and a motion amount of a motion element of a user in a practice in performance performed by movement of at least a part of a body of the user and a state of a result produced by the performance, an analyzing section configured to analyze the obtained sensing data and estimate information regarding the practice in the performance of the user on a basis of a result of the analysis, and an output section configured to output a result of the estimation to the user.

Apparatus and methods for cellular compositions
11195502 · 2021-12-07 · ·

Broadly speaking, embodiments of the present invention provide systems, methods and apparatus for cellular compositions/generating music in real-time using cells (i.e. short musical motifs), where the cellular compositions are dependent on user data.

SYSTEM FOR PRODUCING MUSIC FOR WELLBEING FROM A PERSONAL ARTERIAL PULSE WAVE FORM
20220203064 · 2022-06-30 ·

There is provided a system of producing music that is in accordance with a user's measured arterial pulse wave form, the system comprising: a sound generator comprising a processing circuitry, the processing circuitry comprising a processor and memory, the processing circuitry being configured to: receive a digital signal indicative of a plethysmogram (PG) of the user; and generate, from the digital signal, data indicative of an audio segment.

Variations audio playback

A method for controlling a playback tempo of an audio track to be presented at an audio output, the audio track comprising a plurality of audio components, a first audio component of the plurality of audio components being associated with a plurality of sets of audio data, wherein each set of audio data in the plurality of sets of audio data is associated with a respective playback tempo range, the method comprising receiving a playback tempo for presenting the audio track at the audio output, selecting, from the plurality of sets of audio data, a set of audio data that has an associated playback tempo range comprising the received playback tempo, and allocating the selected set of audio data to the first audio component for presenting the audio track at the audio output.

Method and system for analysing sound

The present invention relates to a method and system for analysing audio (eg. music) tracks. A predictive model of the neuro-physiological functioning and response to sounds by one or more of the human lower cortical, limbic and subcortical regions in the brain is described. Sounds are analysed so that appropriate sounds can be selected and played to a listener in order to stimulate and/or manipulate neuro-physiological arousal in that listener. The method and system are particularly applicable to applications harnessing a biofeedback resource.

Techniques for learning effective musical features for generative and retrieval-based applications

A method includes receiving a non-linguistic input associated with an input musical content. The method also includes, using a model that embeds multiple musical features describing different musical content and relationships between the different musical content in a latent space, identifying one or more embeddings based on the input musical content. The method further includes at least one of: (i) identifying stored musical content based on the one or more identified embeddings or (ii) generating derived musical content based on the one or more identified embeddings. In addition, the method includes presenting at least one of: the stored musical content or the derived musical content. The model is generated by training a machine learning system having one or more first neural network components and one or more second neural network components such that embeddings of the musical features in the latent space have a predefined distribution.