3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.SD2024
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment
Huma Ameer, Seemab Latif, Mehwish Fatima
The automated classification of stuttered speech has significant implications for timely assessments providing assistance to speech language pathologists. Despite notable advanceme…
cs.SD2023★ 3 cited
Whisper in Focus: Enhancing Stuttered Speech Classification with Encoder Layer Optimization
Huma Ameer, Seemab Latif, Rabia Latif +1
In recent years, advancements in the field of speech processing have led to cutting-edge deep learning algorithms with immense potential for real-world applications. The automated…