22 citations · 104 across the 29 of their papers we have counts for
29 papers
ASPED: An Audio Dataset for Detecting Pedestrians
Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo +3
We introduce the new audio analysis task of pedestrian detection and present a new large-scale dataset for this task. While the preliminary results prove the viability of using aud…
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation
Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding +6
Cinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture. In t…
Audio Embeddings as Teachers for Music Classification
Yiwei Ding, Alexander Lerch
Music classification has been one of the most popular tasks in the field of music information retrieval. With the development of deep learning models, the last decade has seen impr…
Quantifying Spatial Audio Quality Impairment
Karn N. Watcharasupat, Alexander Lerch
Spatial audio quality is a highly multifaceted concept, with many interactions between environmental, geometrical, anatomical, psychological, and contextual considerations. Methods…
Music Instrument Classification Reprogrammed
Hsin-Hung Chen, Alexander Lerch
The performance of approaches to Music Instrument Classification, a popular task in Music Information Retrieval, is often impacted and limited by the lack of availability of annota…
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen +1
Transfer learning (TL) approaches have shown promising results when handling tasks with limited training data. However, considerable memory and computational resources are often re…