5 papers · 1 filter
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…
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…
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…
Artificial bandwidth extension using deep neural network and sampled-data control theory
Deepika Gupta, Hanumant Singh Shekhawat
Artificial bandwidth extension is applied to speech signals to improve their quality in narrowband telephonic communication. For accomplishing this, the missing high-frequency (hig…
Analysis of Emotional Content in Indian Political Speeches
Sharu Goel, Sandeep Kumar Pandey, Hanumant Singh Shekhawat
Emotions play an essential role in public speaking. The emotional content of speech has the power to influence minds. As such, we present an analysis of the emotional content of po…