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Hearing impaired listeners often face difficulties in understanding speech, especially in noisy situations. A highly effective solution to solve this problem is to employ a hearing aid system (HAS), which can connect to a wireless microphone worn by the talker of interest. The wireless microphone allows the HAS to access an essentially noise-free version of the target signals that can be presented to the user. However, despite the increase in intelligibility, some users do not feel comfortable with this solution, because it does not provide the correct spatial cues of the target sound, so that the user cannot localize the target talker. This can reduce a user’s sense of immersion and can cause the user to feel detached from the surroundings. Further, in situations where several talkers are simultaneously present and each of them are wearing a wireless microphone, lack of spatial cues can degrade the speech intelligibility of target signals, especially when some of the talkers are talking concurrently. One solution to address these problems is to impose the correct spatial cues on the wirelessly received signals, before rendering them to the HAS user. To do so, one could solve the informed sound source localization (SSL) problem, ie estimate the location of the target talker (s) based on the knowledge of the noise-free version of the target signal (s). Despite the fact that the informed SSL problem is mainly relevant in acoustically noisy situations, and that HAS microphones are typically located behind/in the users’ ears, existing informed SSL algorithms often ignore ambient noise characteristics and effects of the user’s head on the received signals. In this thesis …