Abstract: A method for automatically detecting audio feedback in an input audio signal includes separately filtering the audio input signal with a plurality of separate analysis audio filters to generate a plurality of filtered audio signals. The separate analysis audio filters are different. Then, comparing at least two of the filtered audio signals to obtain an energy level difference. Performing one or more repetitions of the steps of filtering and comparing to establish a plurality of the energy level differences. Then comparing energy level differences from at least two of the repetitions to detect the audio feedback. The method includes features of automatically performing audio feedback suppression of the detected audio feedback.

Abstract: A method for detecting a prominent tone of an input audio includes establishing a first analysis audio signal based on the input audio signal, establishing a second analysis audio signal based on the input audio signal, wherein an analysis audio signal of the first analysis audio signal and the second analysis audio signal is established by applying an analysis audio filter to the input audio signal, comparing the first analysis audio signal and the second analysis audio signal to obtain an energy level contrast, and determining a representation of the prominent tone by converting the energy level contrast by a contrast-to-frequency mapping function.

Abstract: An audio device with acoustic echo cancellation includes a device cabinet having a cabinet interior; a first open back driver receiving a first open driver input from an audio source; a second open back driver receiving a second open driver input from the audio source, wherein the first open back driver and the second open back driver are acoustically coupled to the cabinet interior; a reference microphone located in the cabinet interior to record a reference microphone signal based on sound emitted within the cabinet interior by the first open back driver and the second open back driver based on the first open driver input and the second open driver input, respectively; and an acoustic echo cancellation block subtracting a representation of the reference microphone signal from a representation of a set of input microphone signals to provide an echo-cancelled output.

Abstract: A method for detecting a prominent tone of an input audio includes establishing a first analysis audio signal based on the input audio signal, establishing a second analysis audio signal based on the input audio signal, wherein an analysis audio signal of the first analysis audio signal and the second analysis audio signal is established by applying an analysis audio filter to the input audio signal, comparing the first analysis audio signal and the second analysis audio signal to obtain an energy level contrast, and determining a representation of the prominent tone by converting the energy level contrast by a contrast-to-frequency mapping function.

Abstract: A method for automatically detecting audio feedback in an input audio signal includes separately filtering the audio input signal with a plurality of separate analysis audio filters to generate a plurality of filtered audio signals. The separate analysis audio filters are different. Then, comparing at least two of the filtered audio signals to obtain an energy level difference. Performing one or more repetitions of the steps of filtering and comparing to establish a plurality of the energy level differences. Then comparing energy level differences from at least two of the repetitions to detect the audio feedback. The method includes features of automatically performing audio feedback suppression of the detected audio feedback.