Prakash Ramachandran

Estimation of voice quality parameters of dysarthric speech with preserved identity using different time-frequency image representations in deep learning network

Speech-language pathologists use voice quality metrics of raw speech to assess dysarthria. Instead of using raw speech, a deep learning based diagnostic method that extracts these metrics from time-frequency speech representations will be reliable and preserves speaker identity. In this work a regression-based deep...