11 papers
Learning from Audio-Dependency Errors: Data Curation Strategies Based on Model Confusion Patterns in Audio Question Answering
Hyeonuk Nam
We frame the system as diagnostic data curation for a large audio-language model: before fine-tuning, we probe Qwen3-Omni-30B-A3B-Instruct under normal, empty-audio, and shuffled-a…
Towards Understanding of Frequency Dependence on Sound Event Detection
Hyeonuk Nam, Seong-Hu Kim, Deokki Min +2
In this work, we conduct an in-depth analysis of two frequency-dependent methods for sound event detection (SED): FilterAugment and frequency dynamic convolution (FDY conv). The go…
Auditory Intelligence: Understanding the World Through Sound
Hyeonuk Nam
Recent progress in auditory intelligence has yielded high-performing systems for sound event detection (SED), acoustic scene classification (ASC), automated audio captioning (AAC),…
Binaural Sound Event Localization and Detection based on HRTF Cues for Humanoid Robots
Gyeong-Tae Lee, Hyeonuk Nam, Yong-Hwa Park
This paper introduces Binaural Sound Event Localization and Detection (BiSELD), a task that aims to jointly detect and localize multiple sound events using binaural audio, inspired…
Frequency Dynamic Convolutions for Sound Event Detection
Hyeonuk Nam
Recent research in deep learning-based Sound Event Detection (SED) has primarily focused on Convolutional Recurrent Neural Networks (CRNNs) and Transformer models. However, convent…
DNN based HRIRs Identification with a Continuously Rotating Speaker Array
Byeong-Yun Ko, Deokki Min, Hyeonuk Nam +1
Conventional static measurement of head-related impulse responses (HRIRs) is time-consuming due to the need for repositioning a speaker array for each azimuth angle. Dynamic approa…