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  1. librosa · PyPI

    Mar 11, 2025 · If you want to cite librosa in a scholarly work, there are two ways to do it. From librosa version 0.10.2 or later, you can also use librosa.cite() to get the DOI link for any version of librosa.

  2. piwheels - librosa

    Jul 17, 2025 · The piwheels project page for librosa: Python module for audio and music processing

  3. Releases · librosa/librosa - GitHub

    Python library for audio and music analysis. Contribute to librosa/librosa development by creating an account on GitHub.

  4. Librosa

    librosa is also available as a conda package. You can install it by saying. Please direct non-development questions and discussion topics to our web forum at https://groups.google.com/forum/#!forum/librosa.

  5. Links for librosa - aliyun.com

    librosa-0.10.0-py3-none-any.whl librosa-0.10.0.post1-py3-none-any.whl librosa-0.10.0.post1.tar.gz librosa-0.10.0.post2-py3-none-any.whl librosa-0.10.0.post2.tar.gz librosa-0.10.0.tar.gz librosa …

  6. Librosa download | SourceForge.net

    Jul 3, 2025 · Whether you're building machine learning models for audio classification or visualizing spectrograms, Librosa is a go-to library for researchers and developers working in audio signal …

  7. librosa/librosa | DeepWiki

    Jan 26, 2026 · librosa is a Python package for music and audio analysis. It provides the building blocks for creating Music Information Retrieval (MIR) systems and audio analysis applications through a …

  8. librosa 0.11.0 on PyPI - Libraries.io - security & maintenance data for ...

    If you want to cite librosa in a scholarly work, there are two ways to do it. From librosa version 0.10.2 or later, you can also use librosa.cite() to get the DOI link for any version of librosa.

  9. torchlibrosa · PyPI

    Feb 21, 2023 · This codebase provides PyTorch implementation of some librosa functions. If users previously used for training cpu-extracted features from librosa, but want to add GPU acceleration …

  10. librosalibrosa 0.11.0 documentation

    For a quick introduction to using librosa, please refer to the Tutorial. For a more advanced introduction which describes the package design principles, please refer to the librosa paper at SciPy 2015.