Mihailo Kolundzija — accepted AI-conference papers

2024

Low Bitrate Loss Resilience Scheme for a Speech Enhancing Neural Codec

Mihailo Kolundzija, Mathew Shaji Kavalekalam, Ivana Balic, Michelle Mao, Raúl Casas

ICASSP 2024accepted

Deep neural networks have proven their efficacy in encoding high-quality speech and audio at remarkably low bitrates, while also demonstrating superior performance in audio packet loss concealment (PLC) compared to traditional methods. Although ultra low-bitrate speech and audio codecs may appear le…

Cited by 0 Source ↗Scholar ↗

2023

Blind as a Bat: Audible Echolocation on Small Robots

Frederike Dümbgen, Adrien Hoffet, Mihailo Kolundzija, Adam Scholefield, Martin Vetterli

RA-L 2023

For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although robots are often equipped with microphones and speakers, the audio modality is rarely used for these tasks. Compared to

Cited by 17 Source ↗Scholar ↗