Xianke Wang

Orcid: 0000-0001-7037-9800

According to our database1, Xianke Wang authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A Two-Stage Audio-Visual Fusion Piano Transcription Model Based on the Attention Mechanism.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

CNN-Transformer Ensemble: Advancing Visual Piano Transcription with Global and Local Features.
Proceedings of the International Joint Conference on Neural Networks, 2024

Piano Transcription with Harmonic Attention.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Multi-Stage Automatic Evaluation System for Sight-Singing.
IEEE Trans. Multim., 2023

MusicYOLO: A Vision-Based Framework for Automatic Singing Transcription.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Two-stage Progressive Neural Network for Acoustic Echo Cancellation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A CRNN-GCN Piano Transcription Model Based On Audio And Skeleton Features.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
SingMaster: A Sight-singing Evaluation System of "Shoot and Sing" Based on Smartphone.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Musicyolo: A Sight-Singing Onset/Offset Detection Framework Based on Object Detection Instead of Spectrum Frames.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
An EB-enhanced CNN Model for Piano Music Transcription.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

An Audio-Visual Fusion Piano Transcription Approach Based on Strategy.
Proceedings of the 24th International Conference on Digital Audio Effects, 2021

Transition-Aware: A More Robust Approach for Piano Transcription.
Proceedings of the 24th International Conference on Digital Audio Effects, 2021


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