Abstract / truncated to 115 words (read the full abstract)

The spatial information contained in recorded microphone signals has a fundamental role in the characterization of acoustic environments. Furthermore, it can be exploited in digital audio processing frameworks for enhancing a desired source signal, benefiting applications such as hands-free telephony, hearing devices, human-machine interfaces and acoustic monitoring systems. Despite its acknowledged relevance, accurately estimating and effectively employing spatial information can present significant challenges, due to the diverse acoustic conditions of practical scenarios or limitations imposed by microphone setups. This thesis focuses on the development and evaluation of audio processing methods for estimating and applying spatial information, while addressing a selection of challenges encountered in different applications. The estimation of spatial information is, in this thesis, ... toggle 4 keywords

audio processing – spatial audio – source localization – speech enhancement

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