SAFE: Spiking Neural Network-based Audio Fidelity Evaluation | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

This content will become publicly available on December 9, 2026

SAFE: Spiking Neural Network-based Audio Fidelity Evaluation

Award ID(s):: 2332744

PAR ID:: 10684843

Author(s) / Creator(s):: Khant, Aaditya Arunkumar; Wijewickrama, Raveen; Jadliwala, Murtuza

Publisher / Repository:: Proceedings of the 17th Asian Conference on Machine Learning

Date Published:: 2025-12-09

Volume:: 304

Page Range / eLocation ID:: 974-989

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
This content will become publicly available on December 9, 2026
Conference Proceeding:
The DOI is not currently available.