Abstract: An audio processing system has multiple microphones that capture an audio signal. A noise suppression circuit analyses the audio signal to detect a type of noise present in the signal (e.g., stationary or non-stationary background noise). Based on the detected background noise type, the system operates in either a first or second mode of operation. In the first mode (stationary noise detected), one microphone is used to enhance a speech signal from the audio signal, and in the second mode (non-stationary noise detected), more than one microphone is used to enhance the speech signal. Processing more than one microphone input signal requires additional complexity and more processing power than one-microphone speech enhancement, so by classifying the background noise type and then switching between one microphone or N-microphones based speech enhancement, processing power is reduced during stationary noise conditions.

Abstract: An audio processing system has multiple microphones that capture an audio signal. A noise suppression circuit analyses the audio signal to detect a type of noise present in the signal (e.g., stationary or non-stationary background noise). Based on the detected background noise type, the system operates in either a first or second mode of operation. In the first mode (stationary noise detected), one microphone is used to enhance a speech signal from the audio signal, and in the second mode (non-stationary noise detected), more than one microphone is used to enhance the speech signal. Processing more than one microphone input signal requires additional complexity and more processing power than one-microphone speech enhancement, so by classifying the background noise type and then switching between one microphone or N-microphones based speech enhancement, processing power is reduced during stationary noise conditions.