135 citations · 853 across the 69 of their papers we have counts for
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Optimal Embedding Calibration for Symbolic Music Similarity
Xinran Zhang, Maosong Sun, Jiafeng Liu +1
In natural language processing (NLP), the semantic similarity task requires large-scale, high-quality human-annotated labels for fine-tuning or evaluation. By contrast, in cases of…
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music
Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan +3
Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a…
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +2
For multi-channel speech recognition, speech enhancement techniques such as denoising or dereverberation are conventionally applied as a front-end processor. Deep learning-based fr…