This paper presents an ongoing project that aims to document the urban soundscapes of the Polish city of Białystok. It describes the progress made so far, including the selection of sonic landmarks, the process of acquiring the audio recordings, and the design of the unique graphic user interface featuring original drawings. Furthermore, it elaborates on the ongoing efforts to extend the project beyond the scope of a typical urban soundscape repository. In the present phase of the project, in addition to monophonic recordings, audio excerpts are acquired in binaural and Ambisonic sound formats, providing listeners with an immersive experience. Moreover, state-of-the-art machine-learning algorithms are applied to analyze gathered audio recordings in terms of their content and spatial characteristics, ultimately providing prospective users of the sound map with some form of automatic audio tagging functionality.
