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eess.AS2024
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
Taegyun Kwon, Dasaem Jeong, Juhan Nam
In recent years, advancements in neural network designs and the availability of large-scale labeled datasets have led to significant improvements in the accuracy of piano transcrip…
eess.AS2020★ 8 cited
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Recent advances in polyphonic piano transcription have been made primarily by a deliberate design of neural network architectures that detect different note states such as onset or…