mlsanityData to 7 Oct 2026

Omnizart: A General Toolbox for Automatic Music Transcription

arXiv 2106.00497 ↗First posted 1 Jun 2021cs.SD cs.AI eess.AScited by 13

Not on the map. Why?

Abstract (arXiv)

We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT). Omnizart encompasses modules that construct the life-cycle of deep learning-based AMT, and is designed for ease of use with a compact command-line interface. To the best of our knowledge, Omnizart is the first transcription toolkit which offers models covering a wide class of instruments ranging from solo, instrument ensembles, percussion instruments to vocal, as well as models for chord recognition and beat/downbeat tracking, two music information retrieval (MIR) tasks highly related to AMT.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 10 of its 25 references that are in the map. First posted on arXiv 1 Jun 2021.

Builds on

10 of 25 references.

References · 10

  1. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  2. 2017Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learningcited by 918
  3. 2018Image Transformercited by 770
  4. 2018Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Datasetcited by 215
  5. 2016madmom: a new Python Audio and Music Signal Processing Librarycited by 63
  6. 2016Learning Features of Music from Scratchcited by 57
  7. 2018ShakeDrop Regularization for Deep Residual Learningcited by 40
  8. 2016On the Potential of Simple Framewise Approaches to Piano Transcriptioncited by 21
  9. 2017Invariances and Data Augmentation for Supervised Music Transcriptioncited by 12
  10. 2018Vocal melody extraction using patch-based CNNcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 5; 2024: 2; 2025: 1; 2026: 4.

13 papers.

Sort:

  1. 2023Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer modelcited by 37
  2. 2023Content-based Controls For Music Large Language Modelingcited by 19
  3. 2024High Resolution Guitar Transcription via Domain Adaptationcited by 15
  4. 2023Perceptual Musical Features for Interpretable Audio Taggingcited by 7
  5. 2022Jointist: Joint Learning for Multi-instrument Transcription and Its Applicationscited by 6
  6. 2023A Phoneme-Informed Neural Network Model for Note-Level Singing Transcriptioncited by 5
  7. 2023Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Trainingcited by 3
  8. 2024MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processingcited by 3
  9. 2026STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playable Rhythm-Game Chartscited by 1
  10. 2025Semantic-Aware Interpretable Multimodal Music Auto-Taggingcited by 0
  11. 2026Constructing Composite Features for Interpretable Music-Taggingcited by 0
  12. 2026FIGMA: Towards FIne-Grained Music retrievAlcited by 0
1 more
  1. 2026Generalized Audio-Driven Synthesis of Precise Drummer Motioncited by 0