Robust speech separation and recognition
MERL is looking for an intern to work on acoustic modeling for robust speech separation and/or recognition using machine learning techniques such as deep learning and/or Bayesian approaches. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in speech processing including speech recognition and/or practical machine learning algorithms with related programming skills.Research Area: MultimediaContact: Speech Team
Title: Robust speech separation and recognition
Salary: None
Description: MERL is looking for an intern to work on acoustic modeling for robust speech separation and/or recognition using machine learning techniques such as deep learning and/or Bayesian approaches. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in speech processing including speech recognition and/or practical machine learning algorithms with related programming skills.Research Area: MultimediaContact: Speech Team
Requirements: None experience, None education
Fraudulent: No