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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…
math.NA2025
Enhanced Error Bounds For The Masked Projection Techniques via Cosine-Sine Decomposition
Brij Nandan Tripathi, Hanumant Singh Shekhawat
The masked projection techniques are popular in the area of non-linear model reduction. Quantifying and minimizing the error in model reduction, particularly from masked projection…