3 accepted papers
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 so…
Acoustic room geometry estimation is often performed in ad hoc settings, i.e., using multiple microphones and sources distributed around the room, or assuming control over the excitation signals. We propose a fully convolutional network (FCN) that localizes reflective surfaces under the relaxed assu…
In this paper, a broadband region-based near-field beamforming algorithm is proposed and demonstrated for acoustic applications. We use an eigenfilter structure with a minimum-energy cost function based on desired and undesired near-field regions. Robustness is thus achieved by focusing on signals g…