Speech enhancement and source separation
MERL is looking for an intern to work on speech enhancement and source separation in challenging multi-source and/or far-field scenarios, using machine learning techniques such as model-based extensions to deep learning. 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, speech modeling, probabilistic modeling and deep learning. Research Area: MultimediaContact: Speech Team
Title: Speech enhancement and source separation
Salary: None
Description: MERL is looking for an intern to work on speech enhancement and source separation in challenging multi-source and/or far-field scenarios, using machine learning techniques such as model-based extensions to deep learning. 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, speech modeling, probabilistic modeling and deep learning. Research Area: MultimediaContact: Speech Team
Requirements: None experience, None education
Fraudulent: No