2018
INTERSPEECH
INTERSPEECH 2018
Voice Analysis Using Acoustic and Throat Microphones for Speech Therapy
Abstract
Diagnosis of voice disorders by a speech therapist involves the process of voice recording with the patient, followed by software-aided analysis. In this paper, we propose a novel voice diagnosis system which gives voice report information based on Praat software, using voice samples from a throat microphone and an acoustic microphone, making the diagnosis near real-time, as well as robust to background noise. Results show that throat microphones give reliable Jitter and Shimmer values in ambient noise levels of 47~50 dB, while acoustic microphones show high variance in these parameters.
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Keyword Pioneer
— jitter measurement
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio