Multi-Task Learning for Speech Enhancement and Phoneme Recognition

📋 Type MA thesis
Status finished
📅 Duration Nov 2, 2020 – Apr 30, 2021
👤 Primary supervisors Hendrik Schröter Andreas Maier Dr. Boppert
🎓 Student Heiko Nille

For speech intelligibility, consonants have a fundamental importance. Unfortunately, when reducing noise in speech, consonants are often also degraded while vocals are easier to preserve/enhance. To improve the detection and enhancement of consonants, we want to use multi-task learning to reduce the noise in the signal and furthermore detect phonemes (smallest acoustic unit in speech).