Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models

T Kwon, D Jeong, J Nam - arXiv preprint arXiv:2404.06818, 2024 - arxiv.org
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 transcription …

Reducing latency of neural automatic piano transcription models

D Lee, D Jeong - The Journal of the Acoustical Society of Korea, 2023 - koreascience.kr
Abstract Automatic Music Transcription (AMT) is a task that detects and recognizes musical
note events from a given audio recording. In this paper, we focus on reducing the latency of …

Design and Development of Real‐Time Music Transcription Using Digital Signal Processing

T Reddychakradhar Goud… - … Algorithms for Signal …, 2022 - Wiley Online Library
This chapter focuses on designing a real‐time monophonic music transcriber using digital
signal processing (DSP). Music information retrieval is one of the challenging tasks in music …