most citedFrequency-Temporal Attention Network for Singing Melody Extraction

22 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2022

TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music

Ke Chen, Shuai Yu, Cheng-i Wang +3

Singing melody extraction is an important problem in the field of music information retrieval. Existing methods typically rely on frequency-domain representations to estimate the s…

eess.AS2022★ 5 cited

DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection

Qiqi He, Xiaoheng Sun, Yi Yu +1

Chorus detection is a challenging problem in musical signal processing as the chorus often repeats more than once in popular songs, usually with rich instruments and complex rhythm…

eess.AS2021★ 3 cited

Musical Tempo Estimation Using a Multi-scale Network

Xiaoheng Sun, Qiqi He, Yongwei Gao +1

Recently, some single-step systems without onset detection have shown their effectiveness in automatic musical tempo estimation. Following the success of these systems, in this pap…

eess.AS2021

Residual Attention Based Network for Automatic Classification of Phonation Modes

Xiaoheng Sun, Yiliang Jiang, Wei Li

Phonation mode is an essential characteristic of singing style as well as an important expression of performance. It can be classified into four categories, called neutral, breathy…

cs.SD2021★ 22 cited

Frequency-Temporal Attention Network for Singing Melody Extraction

Shuai Yu, Xiaoheng Sun, Yi Yu +1

Musical audio is generally composed of three physical properties: frequency, time and magnitude. Interestingly, human auditory periphery also provides neural codes for each of thes…