Analyzer from External librairies
Aubio
aubio is a tool designed for the extraction of annotations from audio signals. Its features include segmenting a sound file before each of its attacks, performing pitch detection, tapping the beat and producing midi streams from live audio. See http://aubio.org/
Aubio Melenergy
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class
timeside.plugins.analyzer.externals.aubio_melenergy.
AubioMelEnergy
[source] Bases:
timeside.core.analyzer.Analyzer
Aubio Mel Energy analyzer
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static
id
()[source] Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc…
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static
name
()[source] Return the analyzer name, such as “Mean Level”, “Max level”, “Total length, etc..
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post_process
(self)[source] Post-Process data after processign the input frames with process()
Processors such as analyzers will produce Results during the Post-Process
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process
(self, frames, eod=False)[source] Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.
Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.
Warning: it is required to call setup() before this method.
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setup
(self, channels=None, samplerate=None, blocksize=None, totalframes=None)[source] Allocate internal resources and reset state, so that this processor is ready for a new run.
The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.
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static
Aubio MFCC
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class
timeside.plugins.analyzer.externals.aubio_mfcc.
AubioMfcc
[source] Bases:
timeside.core.analyzer.Analyzer
Aubio MFCC analyzer
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static
id
()[source] Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc…
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static
name
()[source] Return the analyzer name, such as “Mean Level”, “Max level”, “Total length, etc..
-
post_process
(self)[source] Post-Process data after processign the input frames with process()
Processors such as analyzers will produce Results during the Post-Process
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process
(self, frames, eod=False)[source] Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.
Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.
Warning: it is required to call setup() before this method.
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setup
(self, channels=None, samplerate=None, blocksize=None, totalframes=None)[source] Allocate internal resources and reset state, so that this processor is ready for a new run.
The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.
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static
Aubio Pitch
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class
timeside.plugins.analyzer.externals.aubio_pitch.
AubioPitch
(blocksize_s=None, stepsize_s=None)[source] Bases:
timeside.core.analyzer.Analyzer
Aubio Pitch estimation analyzer
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static
id
()[source] Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc…
-
static
name
()[source] Return the analyzer name, such as “Mean Level”, “Max level”, “Total length, etc..
-
post_process
(self)[source] Post-Process data after processign the input frames with process()
Processors such as analyzers will produce Results during the Post-Process
-
process
(self, frames, eod=False)[source] Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.
Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.
Warning: it is required to call setup() before this method.
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setup
(self, channels=None, samplerate=None, blocksize=None, totalframes=None)[source] Allocate internal resources and reset state, so that this processor is ready for a new run.
The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.
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static
Aubio Spectral Descriptors collection
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class
timeside.plugins.analyzer.externals.aubio_specdesc.
AubioSpecdesc
[source] Bases:
timeside.core.analyzer.Analyzer
Aubio Spectral Descriptors collection analyzer
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static
id
()[source] Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc…
-
static
name
()[source] Return the analyzer name, such as “Mean Level”, “Max level”, “Total length, etc..
-
post_process
(self)[source] Post-Process data after processign the input frames with process()
Processors such as analyzers will produce Results during the Post-Process
-
process
(self, frames, eod=False)[source] Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.
Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.
Warning: it is required to call setup() before this method.
-
setup
(self, channels=None, samplerate=None, blocksize=None, totalframes=None)[source] Allocate internal resources and reset state, so that this processor is ready for a new run.
The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.
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static
Aubio Temporal
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class
timeside.plugins.analyzer.externals.aubio_temporal.
AubioTemporal
[source] Bases:
timeside.core.analyzer.Analyzer
Aubio Temporal analyzer
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static
id
()[source] Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc…
-
static
name
()[source] Return the analyzer name, such as “Mean Level”, “Max level”, “Total length, etc..
-
post_process
(self)[source] Post-Process data after processign the input frames with process()
Processors such as analyzers will produce Results during the Post-Process
-
process
(self, frames, eod=False)[source] Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.
Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.
Warning: it is required to call setup() before this method.
-
setup
(self, channels=None, samplerate=None, blocksize=None, totalframes=None)[source] Allocate internal resources and reset state, so that this processor is ready for a new run.
The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.
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static