no code implementations • 28 Mar 2024 • Taejin Park
This paper introduces a Large Language Model (LLM)-based multi-agent framework designed to enhance anomaly detection within financial market data, tackling the longstanding challenge of manually verifying system-generated anomaly alerts.
2 code implementations • 8 Oct 2021 • Nithin Rao Koluguri, Taejin Park, Boris Ginsburg
In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations.
Ranked #1 on Speaker Diarization on CALLHOME-109
no code implementations • 6 Feb 2020 • Taejin Park, Kenichi Kumatani, Minhua Wu, Shiva Sundaram
In this paper, we further develop this idea and use frequency aligned network for robust multi-channel automatic speech recognition (ASR).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2