16 citations · 79 across the 25 of their papers we have counts for
26 papers
A Novel Scheme to classify Read and Spontaneous Speech
Sunil Kumar Kopparapu
The COVID-19 pandemic has led to an increased use of remote telephonic interviews, making it important to distinguish between scripted and spontaneous speech in audio recordings. I…
Computing Optimal Location of Microphone for Improved Speech Recognition
Karan Nathwani, Bhavya Dixit, Sunil Kumar Kopparapu
It was shown in our earlier work that the measurement error in the microphone position affected the room impulse response (RIR) which in turn affected the single-channel close micr…
Automatic Speaker Independent Dysarthric Speech Intelligibility Assessment System
Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu
Dysarthria is a condition which hampers the ability of an individual to control the muscles that play a major role in speech delivery. The loss of fine control over muscles that as…
Robust Phonetic Segmentation Using Spectral Transition measure for Non-Standard Recording Environments
Bhavik Vachhani, Chitralekha Bhat, Sunil Kopparapu
Phone level localization of mis-articulation is a key requirement for an automatic articulation error assessment system. A robust phone segmentation technique is essential to aid i…
Identification of Dementia Using Audio Biomarkers
Rupayan Chakraborty, Meghna Pandharipande, Chitralekha Bhat +1
Dementia is a syndrome, generally of a chronic nature characterized by a deterioration in cognitive function, especially in the geriatric population and is severe enough to impact…
A Novel Approach for Effective Learning in Low Resourced Scenarios
Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu
Deep learning based discriminative methods, being the state-of-the-art machine learning techniques, are ill-suited for learning from lower amounts of data. In this paper, we propos…