A method in an electronic device, the method comprising: detecting, from a microphone array, an audio signal (102; 104) in an environment proximate to an audio front end system of the electronic device; identifying a first angular section of a plurality of angular sections in the environment as a first source of audio associated with the audio signal; identifying a second angular section of the plurality of angular sections in the environment as a second source of audio associated with the audio signal, wherein the second angular section is different from the first angular section; processing the audio signal (102; 104) at a first wake word detection engine of a plurality of wake word detection engines, wherein the first wake word detection engine is associated with the first angular section; processing the audio signal (102; 104) at a second wake word detection engine of the plurality of wake word detection engines, wherein the second wake word detection engine is associated with the second angular section; determining, based on the processing at the first wake word detection engine and based on the processing at the second wake word detection engine, whether the audio signal represents a wake word for the electronic device; and in accordance with a determination that the audio signal represents a wake word for the electronic device, adjusting a sensitivity threshold for at least one of the first wake word detection engine and the second wake word detection engine; the method is characterised in that the adjusting of the sensitivity threshold comprises adjusting the sensitivity threshold based on a spatial model of the environment representing locations and probabilities of wake word source zones; and wherein the spatial model is based on a Bayesian inference analysis using a probability distribution to determine the probability of detecting a valid wake word. detecting, from a microphone array, an audio signal (102; 104) in an environment proximate to an audio front end system of the electronic device; identifying a first angular section of a plurality of angular sections in the environment as a first source of audio associated with the audio signal; identifying a second angular section of the plurality of angular sections in the environment as a second source of audio associated with the audio signal, wherein the second angular section is different from the first angular section; processing the audio signal (102; 104) at a first wake word detection engine of a plurality of wake word detection engines, wherein the first wake word detection engine is associated with the first angular section; processing the audio signal (102; 104) at a second wake word detection engine of the plurality of wake word detection engines, wherein the second wake word detection engine is associated with the second angular section; determining, based on the processing at the first wake word detection engine and based on the processing at the second wake word detection engine, whether the audio signal represents a wake word for the electronic device; and in accordance with a determination that the audio signal represents a wake word for the electronic device, adjusting a sensitivity threshold for at least one of the first wake word detection engine and the second wake word detection engine; the method is characterised in that the adjusting of the sensitivity threshold comprises adjusting the sensitivity threshold based on a spatial model of the environment representing locations and probabilities of wake word source zones; and wherein the spatial model is based on a Bayesian inference analysis using a probability distribution to determine the probability of detecting a valid wake word.