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audio-degrader-1.3.1
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مشاهده بیشترتوضیحات
Tool to introduce controlled degradations to audio
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | audio-degrader-1.3.1 |
| نام | audio-degrader |
| نسخه کتابخانه | 1.3.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Emilio Molina |
| ایمیل نویسنده | emilio.mol.mar@gmail.com |
| آدرس صفحه اصلی | https://github.com/EliosMolina/audio_degrader |
| آدرس اینترنتی | https://pypi.org/project/audio-degrader/ |
| مجوز | - |
[](https://travis-ci.com/emilio-molina/audio_degrader)
# audio_degrader
Latest version: `1.3.1`
Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio.
## Installation
`pip install audio_degrader`
The program depends on `pysox`, so you might need to install `sox` (and `libsox-fmt-mp3` for mp3 encoding). Go to https://github.com/rabitt/pysox to have more details about it.
## Available degradations
```
convolution,impulse_response,level: Convolve input with specified impulse response
parameters:
impulse_response: Full path, URL (requires wget), or relative path (see -l option)
level: Wet level (0.0=dry, 1.0=wet)
example:
convolution,impulse_responses/ir_classroom.wav,1.0
dr_compression,degree: Apply dynamic range compression
parameters:
degree: Degree of compression. Presets from 0 (soft) to 3 (hard)
example:
dr_compression,0
equalize,central_freq,bandwidth,gain: Apply a two-pole peaking equalisation (EQ) filter
parameters:
central_freq: Central frequency of filter in Hz
bandwidth: Bandwith of filter in Hz
gain: Gain of filter in dBs
example:
equalize,100,50,-10
gain,value: Apply gain expressed in dBs
parameters:
value: Gain value [dB]
example:
gain,6
mix,noise,snr: Mix input with a specified noise. The noise can be specified with its full path, URL (requires wget installed), or relative to the resources directory (see -l option)
parameters:
noise: Full or relative path (to resources dir) of noise
snr: Desired Signal-to-Noise-Ratio [dB]
example:
mix,sounds/ambience-pub.wav,6
mp3,bitrate: Emulate mp3 transcoding
parameters:
bitrate: Quality [bps]
example:
mp3,320k
normalize: Normalize amplitude of audio to range [-1.0, 1.0]
parameters:
example:
normalize
pitch_shift,pitch_shift_factor: Apply pitch shifting
parameters:
pitch_shift_factor: Pitch shift factor
example:
pitch_shift,0.9
resample,sample_rate: Resample to given sample rate
parameters:
sample_rate: Desired sample rate [Hz]
example:
resample,8000
speed,speed: Change playback speed
parameters:
speed: Playback speed factor
example:
speed,0.9
time_stretch,time_stretch_factor: Apply time stretching
parameters:
time_stretch_factor: Time stretch factor
example:
time_stretch,0.9
trim_from,start_time: Trim audio from a given start time
parameters:
start_time: Trim start [seconds]
example:
trim_from,0.1
```
## Usage of python package
```Python
import audio_degrader as ad
audio_file = ad.AudioFile('input.wav', './tmp_dir')
for d in ad.ALL_DEGRADATIONS.values():
print ad.DegradationUsageDocGenerator.get_degradation_help(d)
degradations = ad.ParametersParser.parse_degradations_args([
'normalize',
'gain,6',
'dr_compression,3',
'equalize,500,10,30'])
for d in degradations:
audio_file.apply_degradation(d)
audio_file.to_wav('output.wav')
audio_file.delete_tmp_files()
```
## Usage of command-line tool
The script `audio_degrader` is installed along with the python package.
```
# e.g. mix with restaurant08.wav with snr=10db, then amplifies 6db, then compress dynamic range
$ audio_degrader -i input.mp3 -d mix,https://github.com/hagenw/audio-degradation-toolbox/raw/master/AudioDegradationToolbox/degradationData/PubSounds/restaurant08.wav,10 gain,6 dr_compression,3 -o out.wav
# for more details:
$ audio_degrader --help
```
A small set of sounds and impulse responses are installed along with the script, which can be listed with:
```
$ audio_degrader -l
# these relative paths can be used directly in the script too:
$ audio_degrader -i input.mp3 -d mix,sounds/applause.wav,-3 gain,6 -o out.wav
```
## Applications
* Evaluate Music Information Retrieval systems under different degrees of degradations
* Prepare augmented data for training of machine learning systems
It is similar to the [Audio Degradation Toolbox in Matlab by Sebastian Ewert and Matthias Mauch][1] (for Matlab).
## Some examples
```
# Mix input with a sound / noise (e.g. using installed resources)
$ audio_degrader -i input.wav -d mix,sounds/applause.wav,-3 -o out.wav
# Instead of paths, we can also use URLs
$ audio_degrader -i input.wav -d mix,https://www.pacdv.com/sounds/ambience_sounds/airport-security-1.mp3,-3 -o out.wav
# Microphone recording style
$ audio_degrader -i input.wav -d gain,-15 mix,sounds/ambience-pub.wav,18 convolution,impulse_responses/ir_smartphone_mic_mono.wav,0.8 dr_compression,2 equalize,50,100,-6 normalize -o out.wav
# Resample and normalize
$ audio_degrader -i input.mp3 -d resample,8000 normalize -o out.wav
# Convolution (again impulse responses can be resources, full paths or URLs)
$ audio_degrader -i input.wav -d convolution,impulse_responses/ir_classroom_mono.wav,0.7 -o out.wav
$ audio_degrader -i input.wav -d convolution,http://www.cksde.com/sounds/month_ir/FLANGERSPACE%20E001%20M2S.wav,0.7 -o out.wav
```
## Audio formats
### Input
`audio_degrader` relies on ffmpeg for audio reading, so it can read any format (even video).
### Output
`audio_degrader` output format is always wav stereo `pcm_f32le` (sample rate from original audio file).
This output wav file can be easily coverted into another format with ffmpeg, e.g.:
```
$ ffmpeg -i out.wav -b:a 320k out.mp3
$ ffmpeg -i out.wav -ac 2 -ar 44100 -acodec pcm_s16le out_formatted.wav
```
[1]: https://code.soundsoftware.ac.uk/projects/audio-degradation-toolbox
نیازمندی
| مقدار | نام |
|---|---|
| ==0.10.3.post1 | SoundFile |
| >=6.1.2 | pytest |
| >=1.4.1 | scipy |
| ==1.4.1 | sox |
نحوه نصب
نصب پکیج whl audio-degrader-1.3.1:
pip install audio-degrader-1.3.1.whl
نصب پکیج tar.gz audio-degrader-1.3.1:
pip install audio-degrader-1.3.1.tar.gz