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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.