AudioBlockMap

AudioBlockMap[f,audio,dur]

applies f to non-overlapping partitions of length dur in audio.

AudioBlockMap[f,audio,{dur,offset}]

applies f to partitions with offset offset in audio.

AudioBlockMap[f,audio,{dur,offset,wfun}]

applies f after applying wfun to partitions in audio.

Details and Options

  • AudioBlockMap[f,audio,] returns a TimeSeries whose values are the results of f applied to the partitions of audio. The times are the centers of the corresponding partitions.
  • Function f can work on different forms of the partition data using named arguments:
  • #AudioData or #1raw audio data of each partition (default)
    #FourierDataFourier transform of each partition
    #MagnitudeSpectrummagnitude of the Fourier transform
    #PowerSpectrumpower spectrum of each partition
  • Time variables dur and offset can be given as a scalar in seconds, or a time or sample Quantity object.
  • The smoothing window wfun can be specified using a window function that will be sampled between and or a list of values resampled to the length of the partition. By default, no smoothing is performed, which is equivalent to DirichletWindow.
  • The following options can be given:
  • Alignment Centeralignment of the time stamps with partitions
    FourierParameters{-1,1}Fourier parameters
    MetaInformationNoneinclude additional metainformation
    MissingDataMethodNonemethod to use for missing values
    Padding Automaticpadding scheme
    PaddingSizeAutomaticamount of padding
    ResamplingMethod"Interpolation"the method to use for resampling paths
  • Possible settings for Alignment include:
  • Leftreturn times at the beginning of each partition
    Centerreturn times at the center of each partition
    Rightreturn times at the end of each partition
    ascaled alignment between -1 (left) and 1 (right)
  • Possible settings for Padding include:
  • Noneno padding, dropping partitions with fewer samples
    0zero (silence) padding
    vala constant value
    "Fixed"repetitions of the boundary value
    "Periodic"cyclic repetitions of the complete audio
    "Reflected"reflections of the audio at the boundary
    "Reversed"reversals of the complete audio

Examples

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Basic Examples  (1)

Apply a function to partitions of an audio object:

Plot the result along with the audio waveform:

Scope  (7)

Function Specification  (5)

The function f can return any value supported by TimeSeries:

Compute a pair of minimum and maximum values on each partition:

The function f does not need to return numeric output:

This function returns a color proportional to the maximum value in the partition:

Plot the result alongside the waveform:

The function f can operate on the Fourier transform of the partition data:

Compute the phase of the 100th components of the Fourier transform:

Plot the result alongside the waveform:

The function f can operate on the magnitude spectrum of the partition data:

Find the position of the second biggest peak in the magnitude spectrum:

Plot the result alongside the waveform:

The function f can operate on the power spectrum of the partition data:

Filter each power spectrum with a lowpass filter to smooth the result:

Plot the smoothed spectrogram:

Partition Specification  (2)

Compute maximum value of non-overlapping segments of 0.05 seconds:

Plot the result along with the audio waveform:

Use 0.02 seconds of overlap between segments:

Plot the result along with the audio waveform:

Use a smoothing window:

Plot the result along with the audio waveform:

The partition size and the offset can be specified as a time Quantity, a "Samples" Quantity, or a number, interpreted as duration in seconds:

Specify the number of samples to include in each partition:

Options  (2)

Alignment  (1)

The time stamps of the resulting TimeSeries are by default placed in the center of each partition:

Center alignment is the same as Alignment->0:

Use Alignment->Right to return the computed property at the end of each partition:

Use a custom alignment:

Padding  (1)

By default, incomplete partitions are padded with 0 on the right:

Specify a different padding scheme:

Use Padding->None to drop the incomplete partitions from computation:

Applications  (3)

Compute the instantaneous amplitude in dB RMS:

Visualize the histogram of the instantaneous amplitude in dB RMS:

Estimate its distribution:

Use the resulting distribution to perform analysis, including visualizing distribution functions:

Build an audio compressor:

Compute the RMS amplitude of the signal with a threshold of 0.02:

Compress the dynamic range of the signal:

Create a visualization for audio amplitude:

Properties & Relations  (1)

Many AudioLocalMeasurements properties can be computed using AudioBlockMap:

Interactive Examples  (1)

Create a dynamic visualization for the amplitude of a signal:

Define a color function that is green for zero and red for one:

Compute a list of colors and disks whose radius is proportional to the amplitude:

Animate the result:

Animate with some overlap:

Neat Examples  (1)

Reverse the values in the partition and construct a new audio object:

Wolfram Research (2016), AudioBlockMap, Wolfram Language function, https://reference.wolfram.com/language/ref/AudioBlockMap.html (updated 2019).

Text

Wolfram Research (2016), AudioBlockMap, Wolfram Language function, https://reference.wolfram.com/language/ref/AudioBlockMap.html (updated 2019).

CMS

Wolfram Language. 2016. "AudioBlockMap." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2019. https://reference.wolfram.com/language/ref/AudioBlockMap.html.

APA

Wolfram Language. (2016). AudioBlockMap. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/AudioBlockMap.html

BibTeX

@misc{reference.wolfram_2024_audioblockmap, author="Wolfram Research", title="{AudioBlockMap}", year="2019", howpublished="\url{https://reference.wolfram.com/language/ref/AudioBlockMap.html}", note=[Accessed: 08-December-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_audioblockmap, organization={Wolfram Research}, title={AudioBlockMap}, year={2019}, url={https://reference.wolfram.com/language/ref/AudioBlockMap.html}, note=[Accessed: 08-December-2024 ]}