30 citations · 51 across the 7 of their papers we have counts for
8 papers
Learning to Predict Performance-induced Emotion Differences in Classical Piano Music
Joann Ching, Gerhard Widmer
Music is often used as a medium for communicating emotion, with performers shaping perceived affect through interpretation. This study addresses the challenge of identifying and pr…
A Study on the Data Distribution Gap in Music Emotion Recognition
Joann Ching, Gerhard Widmer
Music Emotion Recognition (MER) is a task deeply connected to human perception, relying heavily on subjective annotations collected from contributors. Prior studies tend to focus o…
Language Models for Music Medicine Generation
Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios +3
Music therapy has been shown in recent years to provide multiple health benefits related to emotional wellness. In turn, maintaining a healthy emotional state has proven to be effe…
Learning To Generate Piano Music With Sustain Pedals
Joann Ching, Yi-Hsuan Yang
Recent years have witnessed a growing interest in research related to the detection of piano pedals from audio signals in the music information retrieval community. However, to our…
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh +3
While there are many music datasets with emotion labels in the literature, they cannot be used for research on symbolic-domain music analysis or generation, as there are usually au…
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
Yi-Hui Chou, I-Chun Chen, Chin-Jui Chang +2
This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transf…