Comparing Deep Models and Evaluation Strategies for Multi-Pitch Estimation in Music Recordings

Author:

Weis Christof1ORCID,Peeters Geoffroy1ORCID

Affiliation:

1. LTCI, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, France

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference50 articles.

1. Wave-U-Net: A multi-scale neural network for end-to-end audio source separation;stoller;Proc Int Soc Music Inf Retrieval Conf,0

2. The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy

3. Multiple fundamental frequency estimation by summing harmonic amplitudes;klapuri;Proc Int Soc Music Inf Retrieval Conf,0

4. MT3: Multi-task multitrack music transcription;gardner;Proc Int Conf Learn Representations,0

5. Learning multi-pitch estimation from weakly aligned score–audio pairs using a multi-label CTC loss;weiß;Proc IEEE Workshop Appl Signal Process Audio Acoust,0

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1. From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal Structures;Journal on Computing and Cultural Heritage;2024-07-31

2. Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Multi-Layer Combined Frequency and Periodicity Representations for Multi-Pitch Estimation of Multi-Instrument Music;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. A Score-aware Generative Approach for Music Signals Inpainting;2023 4th International Symposium on the Internet of Sounds;2023-10-26

5. Multipitch estimation based on the iterative detection and separation of note events from single-channel polyphonic recordings;The Journal of the Acoustical Society of America;2023-10-01

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