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Jonathan Le Roux
Senior Principal Research Scientist at Mitsubishi Electric Research Laboratories (MERL), focusing on applying machine learning to solve the "cocktail party problem" in speech and audio.
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Jan 24, 2022
• 36min
Solving the Cocktail Party Problem with Machine Learning, w/ Jonathan Le Roux - #555
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Jonathan Le Roux, a Senior Principal Research Scientist at Mitsubishi Electric Research Laboratories, dives into the fascinating world of the cocktail party problem, where he tackles the challenge of separating speech from noise and other voices. He discusses his innovative paper on the 'cocktail fork problem,' which categorizes audio into speech, music, and sound effects. Le Roux explores the evolution of machine learning techniques in audio processing and reveals insights on how advanced models can enhance clarity in noisy environments.
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