Abstract: Techniques (methods and devices) for audio content serving and creation based on modulation characteristics are disclosed. The techniques include receiving user-associated data related to a user; determining one or more desired modulation characteristic values based on the user-associated data; obtaining a set of one or more target audio tracks, wherein each target audio track represents at least one or more modulation characteristic values; comparing the desired modulation characteristic values with the modulation characteristic values of at least one target audio track from the set of one or more target audio tracks; selecting a target audio track from the at least one target audio track based on the comparing, wherein the modulation characteristic values of the target audio track substantially match the desired modulation characteristic values; and playing the target audio track.

Abstract: Techniques (methods and devices) for neural stimulation through audio with dynamic modulation characteristics are disclosed. The techniques include receiving a mapping of sensor-input values and modulation-characteristic values, wherein each sensor-input value corresponds to a respective modulation-characteristic value; receiving an audio element from an audio source, wherein the audio element comprises at least one audio parameter; identifying an audio-parameter value of the audio parameter; receiving a sensor-input value from a sensor; determining a sensor-input value based on the sensor-input value; selecting from the mapping of sensor-input values and modulation-characteristic values, a modulation-characteristic value that corresponds to the sensor-input value; generating an audio output based on the audio-parameter value and the modulation-characteristic value; and playing the audio output.

Abstract: Embodiments disclosed herein extending an audio track by joining similar portions. Audio features (e.g., spectral features, modulation features) may be extracted from the audio track. The audio track may be segmented, e.g., based on the audio features, and each segment may be slid through the audio track using a timestep. In each timestep, the sliding segment may be compared to the underlying portion of the audio track and a similarity score (e.g., a cross-correlation) may be generated. A self-similarity matrix may be generated based on the comparisons involving all the segments. The self-similarity matrix may be analyzed for peak values and segments corresponding to the peak values may be joined to extend the audio track. The embodiments may be applied to any kind of audio including music, ambient noise, speech, etc.

Abstract: Techniques (methods and devices) for neural stimulation through audio and/or non-audio stimulation. The techniques may be performed by a processing device and may include receiving an audio signal from an audio source and a desired mental state. An element of the audio signal that correspond to a modulation characteristic of the desired mental state may be identified. An envelope from the element may be determined. One or more non-audio signals may be generated based on at least a rate and phase of the envelope. The one or more non-audio signals may be transmitted to one or more non-audio output devices to generate one or more non-audio outputs. A relative timing of the one or more non-audio outputs and an output of the audio signal may be coordinated. The neural stimulation through audio and/or non-audio stimulation may assist patients before, during, and after anesthesia.

Abstract: Embodiments disclosed herein extending an audio track by joining similar portions. Audio features (e.g., spectral features, modulation features) may be extracted from the audio track. The audio track may be segmented, e.g., based on the audio features, and each segment may be slid through the audio track using a timestep. In each timestep, the sliding segment may be compared to the underlying portion of the audio track and a similarity score (e.g., a cross-correlation) may be generated. A self-similarity matrix may be generated based on the comparisons involving all the segments. The self-similarity matrix may be analyzed for peak values and segments corresponding to the peak values may be joined to extend the audio track. The embodiments may be applied to any kind of audio including music, ambient noise, speech, etc.

Abstract: Techniques (methods and devices) for audio content serving and creation based on modulation characteristics are disclosed. The techniques include receiving user-associated data related to a user; determining one or more desired modulation characteristic values based on the user-associated data; obtaining a set of one or more target audio tracks, wherein each target audio track represents at least one or more modulation characteristic values; comparing the desired modulation characteristic values with the modulation characteristic values of at least one target audio track from the set of one or more target audio tracks; selecting a target audio track from the at least one target audio track based on the comparing, wherein the modulation characteristic values of the target audio track substantially match the desired modulation characteristic values; and playing the target audio track.

Abstract: Techniques (methods and devices) for neural stimulation through audio with dynamic modulation characteristics are disclosed. The techniques include receiving a mapping of sensor-input values and modulation-characteristic values, wherein each sensor-input value corresponds to a respective modulation-characteristic value; receiving an audio element from an audio source, wherein the audio element comprises at least one audio parameter; identifying an audio-parameter value of the audio parameter; receiving a sensor-input value from a sensor; determining a sensor-input value based on the sensor-input value; selecting from the mapping of sensor-input values and modulation-characteristic values, a modulation-characteristic value that corresponds to the sensor-input value; generating an audio output based on the audio-parameter value and the modulation-characteristic value; and playing the audio output.

Abstract: First data comprising a first range of audio frequencies is received. The first range of audio frequencies corresponds to a predetermined cochlear region of a listener. Second data comprising a second range of audio frequencies is also received. Third data comprising a first modulated range of audio frequencies is acquired. The third data is acquired by modulating the first range of audio frequencies according to a stimulation protocol that is configured to provide neural stimulation of a brain of the listener. The second data and the third data are arranged to generate an audio composition from the second data and the third data.

Abstract: Embodiments disclosed herein extending an audio track by joining similar portions. Audio features (e.g., spectral features, modulation features) may be extracted from the audio track. The audio track may be segmented, e.g., based on the audio features, and each segment may be slid through the audio track using a timestep. In each timestep, the sliding segment may be compared to the underlying portion of the audio track and a similarity score (e.g., a cross-correlation) may be generated. A self-similarity matrix may be generated based on the comparisons involving all the segments. The self-similarity matrix may be analyzed for peak values and segments corresponding to the peak values may be joined to extend the audio track. The embodiments may be applied to any kind of audio including music, ambient noise, speech, etc.

Abstract: First data comprising a first range of audio frequencies is received. The first range of audio frequencies corresponds to a predetermined cochlear region of a listener. Second data comprising a second range of audio frequencies is also received. Third data comprising a first modulated range of audio frequencies is acquired. The third data is acquired by modulating the first range of audio frequencies according to a stimulation protocol that is configured to provide neural stimulation of a brain of the listener. The second data and the third data are arranged to generate an audio composition from the second data and the third data.

Abstract: First data comprising a first range of audio frequencies is received. The first range of audio frequencies corresponds to a predetermined cochlear region of a listener. Second data comprising a second range of audio frequencies is also received. Third data comprising a first modulated range of audio frequencies is acquired. The third data is acquired by modulating the first range of audio frequencies according to a stimulation protocol that is configured to provide neural stimulation of a brain of the listener. The second data and the third data are arranged to generate an audio composition from the second data and the third data.

Abstract: A method for producing or modifying an audio composition to promote sleep and improve the quality of sleep. The invention provides a way to select for audio components which, when combined with modulated audio components, create an audio composition which has low salience and adequate variance to not just mask noise, but to encourage sleep without requiring repetitive, disruptive, or harmful audio elements.