Abstract: In aspects, systems, methods, apparatuses and computer-readable storage media implementing embodiments for mixing audio content based on a plurality of user generated recordings (UGRs) are disclosed. In embodiments, the mixing comprises: receiving a plurality of UGRs, each UGR of the plurality of UGRs comprising at least audio content; determining a correlation between samples of audio content associated with at least two UGRs of the plurality of UGRs; generating one or more clusters comprising samples of the audio content identified as having a relationship based on the determined correlations; synchronizing, for each of the one or more clusters, the samples of the audio content to produce synchronized audio content for each of the one or more clusters, normalizing, for each of the one or more clusters, the synchronized audio content to produce normalized audio content; and mixing, for each of the one or more clusters, the normalized audio content.

Abstract: A processor-implemented method for direction-of-arrival estimation. The method includes: receiving a plurality of input signals at a sensor array, each sensor having an angle estimator and a cross-spectra term; transforming the input signal from each of the plurality of sensors to the time-frequency domain using a short-time Fourier transform; constructing a Perpendicular Cross-Spectra Difference (PCSD) for each of the plurality of angle estimators associated with each sensor for each frequency bin and time index; calculating an auxiliary observation for each of the angle estimators; and determining an impinging angle for each of the angle estimators based on the auxiliary observation.

Abstract: A processor-implemented method for foreground signal suppression. The method includes: capturing a plurality of input signals using a plurality of sensors within a sound field; subjecting each input signal to a short-time Fourier transform to transform each signal into a plurality of non-overlapping subband regions; estimating the diffuseness of the sound field based on the plurality of input signals; decomposing each of the plurality of input signals into a diffuse component and a directional component based on the diffuseness estimate; applying a spatial analysis operation to filter the directional component of each of the plurality of input signals, wherein the spatial analysis operation includes applying a set of beamformers to the directional components to produce a plurality of beamformer signals; and processing the plurality of beamformer signals to decompose the signal into a foreground channel and a background channel.

Abstract: In aspects, systems, methods, apparatuses and computer-readable storage media implementing embodiments for mixing audio content based on a plurality of user generated recordings (UGRs) are disclosed. In embodiments, the mixing comprises: receiving a plurality of UGRs, each UGR of the plurality of UGRs comprising at least audio content; determining a correlation between samples of audio content associated with at least two UGRs of the plurality of UGRs; generating one or more clusters comprising samples of the audio content identified as having a relationship based on the determined correlations; synchronizing, for each of the one or more clusters, the samples of the audio content to produce synchronized audio content for each of the one or more clusters, normalizing, for each of the one or more clusters, the synchronized audio content to produce normalized audio content; and mixing, for each of the one or more clusters, the normalized audio content.

Abstract: A processor-implemented method for sound-source enhancement, including: capturing a signal from a sound source using a sensor array having a plurality of sensors, the sensor array being positioned between the sound source and the reflective surface; calculating a half-space propagation model by determining a modified steering vector associated with a plane sound wave produced by the sound source as a function of signal direction and the reflectivity value; calculating a half-space spatial coherence model by dividing a sphere with its center on the reflecting surface into two mirror symmetric parts intersected by a plane to create two half spheres; creating a half-space signal-enhancement module using the half-space propagation model and the half-space coherence model; and applying the half-space signal-enhancement module to the signal.

Abstract: A processor-implemented method for capturing and reproducing spatial sound. The method includes: capturing a plurality of input signals using a plurality of sensors within a sound field; subjecting each input signal to a short-time Fourier transform to transform each signal into a transformed signal in the time-frequency domain; decomposing each of the transformed signals into a directional component and a diffuse component; optimizing beamformer weights using vector based amplitude panning to determine an optimal directivity pattern for the diffuse component of each transformed signal; constructing a set of diffuse sound channels using the diffuse components of the transformed signals and the optimized beamformer weights; constructing a set of directional sound channels using the directional components of the transformed signals; and reproducing the sound field by distributing the directional and diffuse sound channels to a plurality of output devices.

Abstract: A processor-implemented method for foreground signal suppression. The method includes: capturing a plurality of input signals using a plurality of sensors within a sound field; subjecting each input signal to a short-time Fourier transform to transform each signal into a plurality of non-overlapping subband regions; estimating the diffuseness of the sound field based on the plurality of input signals; decomposing each of the plurality of input signals into a diffuse component and a directional component based on the diffuseness estimate; applying a spatial analysis operation to filter the directional component of each of the plurality of input signals, wherein the spatial analysis operation includes applying a set of beamformers to the directional components to produce a plurality of beamformer signals; and processing the plurality of beamformer signals to decompose the signal into a foreground channel and a background channel.