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20172021
most citedTemporally Guided Music-to-Body-Movement Generation

40 citations · 86 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.AS2020

Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction

Yin-Jyun Luo, Yuen-Jen Lin, Li Su

Singing voice correction (SVC) is an appealing application for amateur singers. Commercial products automate SVC by snapping pitch contours to equal-tempered scales, which could le…

eess.AS202016 cited

Semi-supervised learning using teacher-student models for vocal melody extraction

Sangeun Kum, Jing-Hua Lin, Li Su +1

The lack of labeled data is a major obstacle in many music information retrieval tasks such as melody extraction, where labeling is extremely laborious or costly. Semi-supervised l…

eess.AS2019

Multi-layered Cepstrum for Instantaneous Frequency Estimation

Chin-Yun Yu, Li Su

We propose the multi-layered cepstrum (MLC) method to estimate multiple fundamental frequencies (MF0) of a signal under challenging contamination such as high-pass filter noise. Ta…

eess.AS2018

A Streamlined Encoder/Decoder Architecture for Melody Extraction

Tsung-Han Hsieh, Li Su, Yi-Hsuan Yang

Melody extraction in polyphonic musical audio is important for music signal processing. In this paper, we propose a novel streamlined encoder/decoder network that is designed for t…

eess.AS2017

Singing voice correction using canonical time warping

Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi +1

Expressive singing voice correction is an appealing but challenging problem. A robust time-warping algorithm which synchronizes two singing recordings can provide a promising solut…