18 citations · 18 across the 1 of their papers we have counts for
4 papers
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
Eunjeong Koh, Shlomo Dubnov
Emotion is a complicated notion present in music that is hard to capture even with fine-tuned feature engineering. In this paper, we investigate the utility of state-of-the-art pre…
Incremental Learning Algorithm for Sound Event Detection
Eunjeong Koh, Fatemeh Saki, Yinyi Guo +2
This paper presents a new learning strategy for the Sound Event Detection (SED) system to tackle the issues of i) knowledge migration from a pre-trained model to a new target model…
Rethinking Recurrent Latent Variable Model for Music Composition
Eunjeong Stella Koh, Shlomo Dubnov, Dustin Wright
We present a model for capturing musical features and creating novel sequences of music, called the Convolutional Variational Recurrent Neural Network. To generate sequential data,…
Mugeetion: Musical Interface Using Facial Gesture and Emotion
Eunjeong Stella Koh, Shahrokh Yadegari
People feel emotions when listening to music. However, emotions are not tangible objects that can be exploited in the music composition process as they are difficult to capture and…