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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.AS2025
Parameter-Efficient Fine-Tuning of Foundation Models for CLP Speech Classification
Susmita Bhattacharjee, Jagabandhu Mishra, H. S. Shekhawat +1
We propose the use of parameter-efficient fine-tuning (PEFT) of foundation models for cleft lip and palate (CLP) detection and severity classification. In CLP, nasalization increas…
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…