The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
librosa: Audio and Music Signal Analysis in Python
Open accessAbstract
This document describes version 0.4.0 of librosa: a Python package for audio and music signal processing.At a high level, librosa provides implementations of a variety of common functions used throughout the field of music information retrieval.In this document, a brief overview of the library's functionality is provided, along with explanations of the design goals, software development practices, and notational conventions.
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Cites
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A Scale for the Measurement of the Psychological Magnitude Pitch
Stevens, S. S., Volkmann, J., & Newman, E. B. (1937) · The Journal of the Acoustical Society of America · doi:10.1121/1.1915893 · Cited by 1,107
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PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Kong, Q., Cao, Y., Iqbal, T., Wang, Y., Wang, W., & Plumbley, M. D. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2020.3030497 · Cited by 1,235
Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Zhao, J., Mao, X., & Chen, L. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2018.08.035 · Cited by 1,044
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Li, R., Yang, S., Ross, D. A., & Kanazawa, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01315 · Cited by 553
“We use the publicly available audio processing toolbox Librosa [60] to extract the music features including: 1-dim envelope , 20-dim MFCC , 12-dim chroma , 1-dim one-hot peaks and 1-dim one-hot beats , resulting in a 35-dim music feature.”
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CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
Yu, W., Xu, H., Meng, F., Zhu, Y., Ma, Y., Wu, J., Zou, J., & Yang, K. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.343 · Cited by 482
Metadata
- Authors
- McFee, B., Raffel, C., Liang, D., Ellis, D., McVicar, M., Battenberg, E., & Nieto, O.
- Venue
- Proceedings of the Python in Science Conference
- Publisher
- SciPy
- Published
- 2015
- Pages
- 18-24
- ISSN
- 2575-9752 (ISSN-L)
- OpenAlex
- W2191779130
- Cited by
- 3,033
- References
- 2
- FWCI
- 34.53
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- McFee, B., Raffel, C., Liang, D., Ellis, D., McVicar, M., Battenberg, E., & Nieto, O. (2015). librosa: Audio and Music Signal Analysis in Python. Proceedings of the Python in Science Conference. https://doi.org/10.25080/majora-7b98e3ed-003
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