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20242026
most citedA Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Sound Effects Dataset Unification With the Universal Category System

Jun Woo Beck, Alexander Lerch

Sound effects (SFX) datasets and libraries often employ distinct tagging schemes, taxonomies, and metadata structures. This creates challenges for research on SFX classification an…

eess.AS2025

Separate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries

Karn N. Watcharasupat, Alexander Lerch

Music source separation is an audio-to-audio retrieval task of extracting one or more constituent components, or composites thereof, from a musical audio mixture. Each of these con…

cs.SD2025

Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition

Karn N. Watcharasupat, Yiwei Ding, T. Aleksandra Ma +2

Any data annotation for subjective tasks shows potential variations between individuals. This is particularly true for annotations of emotional responses to musical stimuli. While…

eess.AS2024

Music auto-tagging in the long tail: A few-shot approach

T. Aleksandra Ma, Alexander Lerch

In the realm of digital music, using tags to efficiently organize and retrieve music from extensive databases is crucial for music catalog owners. Human tagging by experts is labor…

cs.SD2024★ 1 cited

A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems

Karn N. Watcharasupat, Alexander Lerch

Despite significant recent progress across multiple subtasks of audio source separation, few music source separation systems support separation beyond the four-stem vocals, drums,…