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Riemens, E.H.J. (author), Martinez-Nuevo, Pablo (author), Martinez, Jorge (author), Møller, Martin Bo (author), Hendriks, R.C. (author)
Loudspeakers are usually placed in an environment unknown to the loudspeaker designers. Having knowledge on the room acoustic properties, e.g., the location of acoustic reflectors, allows to better reproduce the sound field as intended. Current state-of-the-art methods for room boundary detection using microphone measurements typically focus on...
conference paper 2022
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Li, C. (author), Martinez, Jorge (author), Hendriks, R.C. (author)
Many multi-microphone algorithms depend on knowing the relative acoustic transfer functions (RTFs) of the individual sound sources in the acoustic scene. However, accurate joint RTF estimation for multiple sources is a challenging problem. Existing methods to jointly estimate the RTF for multiple sources have either no satisfying performance, or...
conference paper 2022
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Van der Werf, I. (author), Martinez-Nuevo, Pablo (author), Møller, Martin Bo (author), Hendriks, R.C. (author), Martinez, Jorge (author)
The sound field in a room can be represented by a weighted sum of room modes. To estimate the room modes, current literature uses on-the-grid, sparse reconstruction methods. However, these on-the-grid methods are known to suffer from basis mismatch. In this work, we investigate the use of a gridless framework for estimating room modes using...
conference paper 2022