Purva Barche — accepted AI-conference papers

2025

Enhancing Stutter Detection using Long-Term Average Spectrum Values

Vamshiraghusimha Narasinga, Priyanka Kommagouni, Sridhar Vanga, Kowshik Siva Sai Motepalli, Sai Akarsh C, Purva Barche +1

ICASSP 2025accepted

Stuttering is recognized as a prevalent speech disorder that significantly affects individuals worldwide. Identifying and diagnosing in the early stages enhances the quality of life for individuals experiencing atypical speech patterns. Traditional methods for classifying stuttering primarily depend…

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2025

Typical vs. Atypical Disfluency Classification: Introducing the IIITH-TISA Corpus and Temporal Context-Based Feature Representations

Priyanka Kommagouni, Vamshiraghusimha Narasinga, Purva Barche, Sai Akarsh C, Anil Vuppala

ICASSP 2025accepted

Speech disfluencies in spontaneous communication can be categorized as either typical or atypical. Typical disfluencies, such as hesitations and repetitions, are natural occurrences in everyday speech, while atypical disfluencies are indicative of pathological disorders like stuttering. Distinguishi…

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2021

Comparative Study of Different Epoch Extraction Methods for Speech Associated with Voice Disorders

Purva Barche, Krishna Gurugubelli, Anil Kumar Vuppala

ICASSP 2021accepted

Accurate detection of epoch locations is important in extracting the features from the speech signal for automatic detection and assessment of voice disorders. Therefore, this study aimed to compare the various algorithms for detecting epoch locations from the speech associated with voice disorders.…

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