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20242026
most citedFusion of Modulation Spectrogram and SSL with Multi-head Attention for Fake Speech Detection

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2026

Fairness Evaluation of Edge-AI Implementation for Cleft Lip and Palate Speech ASR

Susmita Bhattacharjee, Himashri Deka, H. S. Shekhawat +1

Automatic speech recognition (ASR) remains challenging for individuals with cleft lip and palate (CLP) because of limited pathological speech data and large variations in speech ch…

eess.SP2026

Normal-Anchored First-Order Model-Agnostic Meta-Learning based Whisper Fine-Tuning for Enhancing Fairness of Cleft Lip and Palate Speech Recognition

Susmita Bhattacharjee, Jagabandhu Mishra, H. S. Shekhawat +2

Automatic speech recognition (ASR) for cleft lip and palate (CLP) speech is difficult because acoustic and articulatory patterns vary across severity levels. This variability reduc…

eess.AS2025★ 1 cited

Fusion of Modulation Spectrogram and SSL with Multi-head Attention for Fake Speech Detection

Rishith Sadashiv T N, Abhishek Bedge, Saisha Suresh Bore +3

Fake speech detection systems have become a necessity to combat against speech deepfakes. Current systems exhibit poor generalizability on out-of-domain speech samples due to lack…

eess.AS2025

Improving ASR Fairness for Cleft Lip and Palate Speech: A Study on Severity-Aware Data Mixing

Susmita Bhattacharjee, Jagabandhu Mishra, H. S. Shekhawat +2

Speech produced by individuals with cleft lip and palate (CLP) is often hypernasal (and sometimes breathy) due to structural anomalies, yielding shifts in formant structure that de…

cs.CR2024

Biometrics in Extended Reality: A Review

Ayush Agarwal, Raghavendra Ramachandra, Sushma Venkatesh +1

In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research has been devoted to harnessing this transformative technology in various real-world ap…