Librosa - Revision history

Techbot at 19:34, 25 August 2021

2021-08-25T19:34:37Z

← Older revision		Revision as of 21:34, 25 August 2021
Line 4:		Line 4:

	librosa		librosa

			= librosa.core =
			Core functionality includes functions to load audio from disk, compute various spectrogram representations, and a variety of commonly used tools for music analysis. For convenience, all functionality in this submodule is directly accessible from the top-level librosa.* namespace.

			= librosa.util =
			Helper utilities (normalization, padding, centering, etc.)

	= librosa.beat =		= librosa.beat =
	Functions for estimating tempo and detecting beat events.		Functions for estimating tempo and detecting beat events.

	~~= librosa.core =~~
	Core functionality includes functions to load audio from disk, compute various spectrogram representations, and a variety of commonly used tools for music analysis. For convenience, all functionality in this submodule is directly accessible from the top-level librosa.* namespace.

	= librosa.decompose =		= librosa.decompose =
Line 34:		Line 37:
	= librosa.sequence =		= librosa.sequence =
	Functions for sequential modeling. Various forms of Viterbi decoding, and helper functions for constructing transition matrices.		Functions for sequential modeling. Various forms of Viterbi decoding, and helper functions for constructing transition matrices.

	~~= librosa.util =~~
	~~Helper utilities (normalization, padding, centering, etc.)~~

Techbot at 19:33, 25 August 2021

2021-08-25T19:33:21Z

← Older revision		Revision as of 21:33, 25 August 2021
Line 5:		Line 5:
	librosa		librosa

	librosa.beat		= librosa.beat =
	Functions for estimating tempo and detecting beat events.		Functions for estimating tempo and detecting beat events.

	librosa.core		= librosa.core =
	Core functionality includes functions to load audio from disk, compute various spectrogram representations, and a variety of commonly used tools for music analysis. For convenience, all functionality in this submodule is directly accessible from the top-level librosa.* namespace.		Core functionality includes functions to load audio from disk, compute various spectrogram representations, and a variety of commonly used tools for music analysis. For convenience, all functionality in this submodule is directly accessible from the top-level librosa.* namespace.

	librosa.decompose		= librosa.decompose =
	Functions for harmonic-percussive source separation (HPSS) and generic spectrogram decomposition using matrix decomposition methods implemented in scikit-learn.		Functions for harmonic-percussive source separation (HPSS) and generic spectrogram decomposition using matrix decomposition methods implemented in scikit-learn.

	librosa.display		= librosa.display =
	Visualization and display routines using matplotlib.		Visualization and display routines using matplotlib.

	librosa.effects		= librosa.effects =
	Time-domain audio processing, such as pitch shifting and time stretching. This submodule also provides time-domain wrappers for the decompose submodule.		Time-domain audio processing, such as pitch shifting and time stretching. This submodule also provides time-domain wrappers for the decompose submodule.

	librosa.feature		= librosa.feature =
	Feature extraction and manipulation. This includes low-level feature extraction, such as chromagrams, Mel spectrogram, MFCC, and various other spectral and rhythmic features. Also provided are feature manipulation methods, such as delta features and memory embedding.		Feature extraction and manipulation. This includes low-level feature extraction, such as chromagrams, Mel spectrogram, MFCC, and various other spectral and rhythmic features. Also provided are feature manipulation methods, such as delta features and memory embedding.

	librosa.filters		= librosa.filters =
	Filter-bank generation (chroma, pseudo-CQT, CQT, etc.). These are primarily internal functions used by other parts of librosa.		Filter-bank generation (chroma, pseudo-CQT, CQT, etc.). These are primarily internal functions used by other parts of librosa.

	librosa.onset		= librosa.onset =
	Onset detection and onset strength computation.		Onset detection and onset strength computation.

	librosa.segment		= librosa.segment =
	Functions useful for structural segmentation, such as recurrence matrix construction, time-lag representation, and sequentially constrained clustering.		Functions useful for structural segmentation, such as recurrence matrix construction, time-lag representation, and sequentially constrained clustering.

	librosa.sequence		= librosa.sequence =
	Functions for sequential modeling. Various forms of Viterbi decoding, and helper functions for constructing transition matrices.		Functions for sequential modeling. Various forms of Viterbi decoding, and helper functions for constructing transition matrices.

	librosa.util		= librosa.util =
	Helper utilities (normalization, padding, centering, etc.)		Helper utilities (normalization, padding, centering, etc.)

Techbot at 19:32, 25 August 2021

2021-08-25T19:32:20Z

@@ Line 1: / Line 1: @@
 [[Python]] library used for audio manipulation especially uselful with [[Deep Learning]]
-* Core IO and DSP
+The librosa package is structured as collection of submodules:
-* Display
-* Feature extraction
+librosa
-* Onset detection
-* Beat and tempo
+librosa.beat
-* Spectrogram decomposition
+Functions for estimating tempo and detecting beat events.
-* Effects
-* Temporal segmentation
+librosa.core
-* Sequential modeling
+Core functionality includes functions to load audio from disk, compute various spectrogram representations, and a variety of commonly used tools for music analysis. For convenience, all functionality in this submodule is directly accessible from the top-level librosa.* namespace.
-* cUtilities

Techbot at 18:30, 25 August 2021

2021-08-25T18:30:08Z

← Older revision		Revision as of 20:30, 25 August 2021
Line 1:		Line 1:
	[[Python]] library used for audio manipulation especially uselful with [[~~deep learning~~]]		[[Python]] library used for audio manipulation especially uselful with [[Deep Learning]]

	* Core IO and DSP		* Core IO and DSP

Techbot at 18:29, 25 August 2021

2021-08-25T18:29:09Z

← Older revision		Revision as of 20:29, 25 August 2021
Line 1:		Line 1:
			[[Python]] library used for audio manipulation especially uselful with [[deep learning]]

	* Core IO and DSP		* Core IO and DSP
	* Display		* Display

Techbot: Created page with "* Core IO and DSP * Display * Feature extraction * Onset detection * Beat and tempo * Spectrogram decomposition * Effects * Temporal segmentation * Sequential modeling * cUtil..."

2021-08-25T18:28:11Z

Created page with "* Core IO and DSP * Display * Feature extraction * Onset detection * Beat and tempo * Spectrogram decomposition * Effects * Temporal segmentation * Sequential modeling * cUtil..."

New page

* Core IO and DSP
* Display
* Feature extraction
* Onset detection
* Beat and tempo
* Spectrogram decomposition
* Effects
* Temporal segmentation
* Sequential modeling
* cUtilities