We are seeking a graduate student interested in helping advance the field of multi-channel sound localization and classification using acoustic sensor networks in challenging multi-source and far-field scenarios. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in audio signal processing, beamforming/array processing, probabilistic modeling, and deep learning. The internship will be performed remotely, and candidates both from within the US and outside of the US are welcome to apply. The expected duration of the (virtual) internship is 3-6 months with a start date between Fall 2020 and early 2021.
- Research Areas: Speech & Audio
- Host: Gordon Wichern
- Apply Now