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20192023
most citedMusic Performance Analysis: A Survey

21 citations · 63 across the 15 of their papers we have counts for

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Showing eess.ASShow all

5 papers · 1 filter

eess.AS2023

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…

eess.AS2023

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…

eess.AS20203 cited

Multitask learning for instrument activation aware music source separation

Yun-Ning Hung, Alexander Lerch

Music source separation is a core task in music information retrieval which has seen a dramatic improvement in the past years. Nevertheless, most of the existing systems focus excl…

eess.AS20205 cited

Score-informed Networks for Music Performance Assessment

Jiawen Huang, Yun-Ning Hung, Ashis Pati +2

The assessment of music performances in most cases takes into account the underlying musical score being performed. While there have been several automatic approaches for objective…

eess.AS20201 cited

Visual Attention for Musical Instrument Recognition

Karn Watcharasupat, Siddharth Gururani, Alexander Lerch

In the field of music information retrieval, the task of simultaneously identifying the presence or absence of multiple musical instruments in a polyphonic recording remains a hard…