3 papers
cs.LG2026
ShiftQAT: Quantization-Aware Training for the Numerical Contract of a Fixed-Function Edge CNN Accelerator
Oguzhan Buyuksolak, Osman Erman Okman, Mehmet Gorkem Ulkar
Fixed-function CNN accelerators make edge inference fast and energy-efficient, but they execute only networks that obey a precise numerical contract. On the MAX7800x family, this c…
eess.AS2026
EdgeSpot: Efficient and High-Performance Few-Shot Model for Keyword Spotting
Oguzhan Buyuksolak, Alican Gok, Osman Erman Okman
We introduce an efficient few-shot keyword spotting model for edge devices, EdgeSpot, that pairs an optimized version of a BC-ResNet-based acoustic backbone with a trainable Per-Ch…
eess.AS2025
Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models
Alican Gok, Oguzhan Buyuksolak, Osman Erman Okman +1
Keyword Spotting plays a critical role in enabling hands-free interaction for battery-powered edge devices. Few-Shot Keyword Spotting (FS-KWS) addresses the scalability and adaptab…