← Search

Takahiro Hanyu

2 accepted papers

2026

EFFICIENT FEW-SHOT LEARNING FOR EDGE AI VIA KNOWLEDGE DISTILLATION ON MOBILEVIT

ICASSP 2026poster

Efficient and adaptable deep learning models are an important area of deep learning research, driven by the need for highly efficient models on edge devices. Few-shot learning enables the use of deep learning models in low-data regimes, a capability that is highly sought after in real-world applicat…

Cited by 0SourcePDFScholar
2016

Gammatone filter based on stochastic computation

ICASSP 2016accepted

This paper introduces a design of a gammatone filter based on stochastic computation for area-efficient hardware. The gammatone filter well expresses the performance of human auditory peripheral mechanism and has a potential of improving advanced speech communications systems, especially hearing ass…

Cited by 0SourceScholar