Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for automatically analyzing, modifying, and mixing a plurality of audio signals. The modification of the audio signals takes place to avoid spectral collisions which occur when more than one signal simultaneously occupies one or more of the same frequency bands. The modifications mask out some signals to allow others to exist unaffected. Also disclosed herein is a method for displaying the identified spectral collisions superimposed on graphical waveform representations of the analyzed signals.

Abstract: For an audio file that includes multiple channels of audio data, a novel device for detecting the configuration of the audio channels in the multi-channel audio file is presented. The device performs one or more algorithms to determine whether two or more channels are related. Such algorithms are used to distinguish stereo recordings from dual mono recordings. The algorithms are also used to detect any number of related channels, such as distinguishing six related channels from a set of surround sound microphones versus six unrelated channels (e.g., mono or a mixture of stereo and mono audio channels, etc.) These algorithms compare audio channels in pairs in order to determine which channels are sufficiently related as to constitute a stereo pair or a group.

Abstract: For media clips captured by several media recording devices, a novel method for organizing the captured media clips is presented. The method arranges the media clips into sequences according to content data associated with the media clips. The method further analyzes content data of the media clips in each sequence to identify a best candidate media clip from each sequence. The method performs one or more algorithms to determine whether the candidate media clips are related. The algorithms are also used to determine a time offset between the candidate clips. The method then synchronizes the sequences based on the time offset determined by the algorithms.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for automatically analyzing, modifying, and mixing a plurality of audio signals. The modification of the audio signals takes place to avoid spectral collisions which occur when more than one signal simultaneously occupies one or more of the same frequency bands. The modifications mask out some signals to allow others to exist unaffected. Also disclosed herein is a method for displaying the identified spectral collisions superimposed on graphical waveform representations of the analyzed signals.

Abstract: For media clips captured by several media recording devices, a novel method for organizing the captured media clips is presented. The method arranges the media clips into sequences according to content data associated with the media clips. The method further analyzes content data of the media clips in each sequence to identify a best candidate media clip from each sequence. The method performs one or more algorithms to determine whether the candidate media clips are related. The algorithms are also used to determine a time offset between the candidate clips. The method then synchronizes the sequences based on the time offset determined by the algorithms.

Abstract: For an audio file that includes multiple channels of audio data, a novel device for detecting the configuration of the audio channels in the multi-channel audio file is presented. The device performs one or more algorithms to determine whether two or more channels are related. Such algorithms are used to distinguish stereo recordings from dual mono recordings. The algorithms are also used to detect any number of related channels, such as distinguishing six related channels from a set of surround sound microphones versus six unrelated channels (e.g., mono or a mixture of stereo and mono audio channels, etc.) These algorithms compare audio channels in pairs in order to determine which channels are sufficiently related as to constitute a stereo pair or a group.