librosa: Audio and Music Signal Analysis in Python
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Summary
A brief overview of the librosa library's functionality is provided, along with explanations of the design goals, software development practices, and notational conventions.
- Type
- article
- Published
- 2015-01-01
- Cited by
- 3,173
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W2191779130
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:33504
Keywords
Python (programming language), Computer science, Implementation, Software, Music information retrieval
References
- Essentia: An Audio Analysis Library for Music Information Retrieval
- Unsupervised Detection of Music Boundaries by Time Series Structure Features
- The HTK book
- Signal Processing Methods for Music Transcription
- Harmonic/Percussive Separation Using Median Filtering
- Learning the parts of objects by non-negative matrix factorization
- Harmonics tracking and pitch extraction based on instantaneous frequency
- Detecting harmonic change in musical audio
- Matplotlib: A 2D Graphics Environment
- Hierarchical Grouping to Optimize an Objective Function
- Selective Sampling for Beat Tracking Evaluation
- Beat Tracking by Dynamic Programming
- Sonic visualiser: an open source application for viewing, analysing, and annotating music audio files
- A Scale for the Measurement of the Psychological Magnitude Pitch
- Music type classification by spectral contrast feature
- The NumPy Array: A Structure for Efficient Numerical Computation
- Theano: Deep Learning on GPUs with Python
- Evaluating the Evaluation Measures for Beat Tracking
- Evaluating the Online Capabilities of Onset Detection Methods
- MIR_EVAL: A Transparent Implementation of Common MIR Metrics
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- Learning to separate vocals from polyphonic mixtures via ensemble methods and structured output prediction
- madmom: A New Python Audio and Music Signal Processing Library
- Optimizing DTW-based audio-to-MIDI alignment and matching
- Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions
- Explaining Deep Convolutional Neural Networks on Music Classification
- Geometric Models for Musical Audio Data
- Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching
- EXTRACT: Strong Examples from Weakly-Labeled Sensor Data
- Impact of Music on Decision Making in Quantitative Tasks
- Speaker identification and clustering using convolutional neural networks
- Do You Want Your Autonomous Car to Drive Like You?
- Coupled Sparse NMF vs. Random Forest Classification for Real Life Acoustic Event Detection
- Noise-robust detection of whispering in telephone calls using deep neural networks
- Simultaneous Separation and Segmentation in Layered Music
- Personality and self-reported preference for music genres and attributes in a German-speaking sample
- Systematic Exploration of Computational Music Structure Research
- Music genre recognition using spectrograms with harmonic-percussive sound separation
- Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
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