changeset 336:0e13ef3598f3

Update README - Use rst instead or markdown
author Amine Sehili <amine.sehili@gmail.com>
date Sat, 26 Oct 2019 18:23:52 +0100
parents 8220dfaa03c6
children 9f17aa9a4018
files README.md README.rst
diffstat 2 files changed, 31 insertions(+), 309 deletions(-) [+]
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--- a/README.md	Sat Oct 26 16:18:44 2019 +0100
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,309 +0,0 @@
-[![Build Status](https://travis-ci.org/amsehili/auditok.svg?branch=master)](https://travis-ci.org/amsehili/auditok)
-[![Documentation Status](https://readthedocs.org/projects/auditok/badge/?version=latest)](http://auditok.readthedocs.org/en/latest/?badge=latest)
-AUDIo TOKenizer
-===============
-
-`auditok` is an **Audio Activity Detection** tool that can process online data (read from an audio device or from standard input) as well as audio files. It can be used as a command line program and offers an easy to use API.
-
-A more detailed version of this user-guide, an API tutorial and API reference can be found at [Readthedocs](http://auditok.readthedocs.org/en/latest/)
-
-- [Two-figure explanation](https://github.com/amsehili/auditok#two-figure-explanation)
-- [Requirements](https://github.com/amsehili/auditok#requirements)
-- [Installation](https://github.com/amsehili/auditok#installation)
-- [Command line usage](https://github.com/amsehili/auditok#command-line-usage)
-  - [Try the detector with your voice](https://github.com/amsehili/auditok#try-the-detector-with-your-voice)
-  - [Play back detections](https://github.com/amsehili/auditok#play-back-detections)
-  - [Set detection threshold](https://github.com/amsehili/auditok#set-detection-threshold)
-  - [Set format for printed detections information](https://github.com/amsehili/auditok#set-format-for-printed-detections-information)
-  - [Plot signal and detections](https://github.com/amsehili/auditok#plot-signal-and-detections)
-  - [Save plot as image or PDF](https://github.com/amsehili/auditok#save-plot-as-image-or-pdf)
-  - [Read data from file](https://github.com/amsehili/auditok#read-data-from-file)
-  - [Limit the length of aquired/read data](https://github.com/amsehili/auditok#limit-the-length-of-aquired-data)
-  - [Save the whole acquired audio signal](https://github.com/amsehili/auditok#save-the-whole-acquired-audio-signal)
-  - [Save each detection into a separate audio file](https://github.com/amsehili/auditok#save-each-detection-into-a-separate-audio-file)
-  - [Setting detection parameters](https://github.com/amsehili/auditok#setting-detection-parameters)
-- [Some practical use cases](https://github.com/amsehili/auditok#some-practical-use-cases)
-  - [1st practical use case: generate a subtitles template](https://github.com/amsehili/auditok#1st-practical-use-case-generate-a-subtitles-template)
-  - [2nd Practical use case example: build a (very) basic voice control application](https://github.com/amsehili/auditok#2nd-practical-use-case-example-build-a-very-basic-voice-control-application)
-- [License](https://github.com/amsehili/auditok#license)
-- [Author](https://github.com/amsehili/auditok#author)
-
-Two-figure explanation
-----------------------
-The following two figures illustrate an audio signal (blue) and regions detected as valid audio activities (green rectangles) according to a given threshold (red dashed line). They respectively depict the detection result when:
-
-1. the detector tolerates phases of silence of up to 0.3 second (300 ms) within an audio activity (also referred to as acoustic event):
-![](doc/figures/figure_1.png)
-
-2. the detector splits an audio activity event into many activities if the within activity silence is over 0.2 second:
-![](doc/figures/figure_2.png)
-
-Beyond plotting signal and detections, you can play back audio activities as they are detected, save them or run a user command each time there is an activity,
-using, optionally, the file name of audio activity as an argument for the command.
-
-Requirements
-------------
-`auditok` can be used with standard Python!
-
-However, if you want more features, the following packages are needed:
-- [pydub](https://github.com/jiaaro/pydub): read audio files of popular audio formats (ogg, mp3, etc.) or extract audio from a video file
-- [PyAudio](http://people.csail.mit.edu/hubert/pyaudio/): read audio data from the microphone and play back detections
-- [matplotlib](http://matplotlib.org/): plot audio signal and detections (see figures above)
-- [numpy](http://www.numpy.org): required by matplotlib. Also used for math operations instead of standard python if available
-- Optionnaly, you can use `sox` or `parecord` for data acquisition and feed `auditok` using a pipe.
-
-
-Installation
-------------
-
-    git clone https://github.com/amsehili/auditok.git
-    cd auditok
-    python setup.py install
-
-Command line usage
-------------------
-
-### Try the detector with your voice
-
-The first thing you want to check is perhaps how `auditok` detects your voice. If you have installed `PyAudio` just run (`Ctrl-C` to stop):
-
-    auditok
-
-This will print `id`, `start-time` and `end-time` for each detected activity. If you don't have `PyAudio`, you can use `sox` for data acquisition (`sudo apt-get install sox`) and tell `auditok` to read data from standard input:
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -i - -r 16000 -w 2 -c 1
-
-Note that when data is read from standard input the same audio parameters must be used for both `sox` (or any other data generation/acquisition tool) and `auditok`. The following table summarizes audio parameters.
-
-| Audio parameter | sox	option | `auditok` option | `auditok` default     |
-| --------------- |------------|------------------|-----------------------|
-| Sampling rate   |     -r     |       -r         |      16000            |
-| Sample width    |  -b (bits) |     -w (bytes)   |      2                |
-| Channels        |  -c        |     -c           |      1                |
-| Encoding        |  -e        |     None         | always signed integer |
-
-According to this table, the previous command can be run as:
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -i -
-
-### PyAudio
-
-When capturing input with PyAudio, you may need to adjust the device index with -I if multiple input devices are available. Use `lsusb -t` to get the list of usb devices, or use `arecord -l` if you're using a non-usb input device. If you don't know what index to use, just try `0`, `1`, `2` and so on, outputting the audio using `-E` (echo) until you hear the sound.
-
-You may also get an error `[Errno -9981] Input overflowed` from PyAudio. If that's the case, you need a bigger frame buffer.
-Use `-F` with 2048 or 4096 (the default is 1024).
-
-### Play back detections
-
-    auditok -E
-
-**or**
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -i - -E
-
-Option `-E` stands for echo, so `auditok` plays back whatever it detects. Using `-E` requires `PyAudio`, if you don't have `PyAudio` and want to play detections with sox, use the `-C` option:
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -i - -C "play -q -t raw -r 16000 -c 1 -b 16 -e signed $"
-
-The `-C` option tells `auditok` to interpret its content as a command that should be run whenever `auditok` detects an audio activity, replacing the `$` by a name of a temporary file into which the activity is saved as raw audio. Here we use `play` to play the activity, giving the necessary `play` arguments for raw data.
-
-`rec` and `play` are just an alias for `sox`.
-
-The `-C` option can be useful in many cases. Imagine a command that sends audio data over a network only if there is an audio activity and saves bandwidth during silence.
-
-### Set detection threshold
-
-If you notice that there are too many detections, use a higher value for energy threshold (the current version only implements a `validator` based on energy threshold. The use of spectral information is also desirable and might be part of future releases). To change the energy threshold (default: 50), use option `-e`:
-
-    auditok -E -e 55
-
-**or**
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -i - -e 55 -C "play -q -t raw -r 16000 -c 1 -b 16 -e signed $"
-
-If however you figure out that the detector is missing some of or all your audio activities, use a lower value for `-e`.
-
-### Set format for printed detections information
-
-By default, `auditok` prints the `id` `start-time` `end-time` of each detected activity:
-
-    1 1.87 2.67
-    2 3.05 3.73
-    3 3.97 4.49
-    ...
-
-If you want to customize the output format, use `--printf` option:
-
-    auditok -e 55 --printf "[{id}]: {start} to {end}"
-
-Output:
-
-    [1]: 0.22 to 0.67
-    [2]: 2.81 to 4.18
-    [3]: 5.53 to 6.44
-    [4]: 7.32 to 7.82
-    ...
-
-Keywords `{id}`, `{start}` and `{end}` can be placed and repeated anywhere in the text. Time is shown in seconds, if you want a more detailed time information, use `--time-format`:
-
-    auditok -e 55 --printf "[{id}]: {start} to {end}" --time-format "%h:%m:%s.%i"
-
-Output:
-
-    [1]: 00:00:01.080 to 00:00:01.760
-    [2]: 00:00:02.420 to 00:00:03.440
-    [3]: 00:00:04.930 to 00:00:05.570
-    [4]: 00:00:05.690 to 00:00:06.020
-    [5]: 00:00:07.470 to 00:00:07.980
-    ...
-
-Valid time directives are: `%h` (hours) `%m` (minutes) `%s` (seconds) `%i` (milliseconds). Two other directives, `%S` (default) and `%I` can be used for absolute time in seconds and milliseconds respectively.
-
-### Plot signal and detections
-
-use option `-p`. Requires `matplotlib` and `numpy`.
-
-    auditok ...  -p
-
-### Save plot as image or PDF
-
-    auditok ...  --save-image output.png
-
-Requires `matplotlib` and `numpy`. Accepted formats: eps, jpeg, jpg, pdf, pgf, png, ps, raw, rgba, svg, svgz, tif, tiff.
-
-### Read data from file
-
-    auditok -i input.wav ...
-
-Install `pydub` for other audio formats.
-
-### Limit the length of aquired data
-
-    auditok -M 12 ...
-
-Time is in seconds.
-
-### Save the whole acquired audio signal
-
-    auditok -O output.wav ...
-
-Install `pydub` for other audio formats.
-
-
-### Save each detection into a separate audio file
-
-    auditok -o det_{N}_{start}_{end}.wav ...
-
-You can use a free text and place `{N}`, `{start}` and `{end}` wherever you want, they will be replaced by detection number, `start-time` and `end-time` respectively. Another example:
-
-    auditok -o {start}-{end}.wav ...
-
-Install `pydub` for more audio formats.
-
-
-Setting detection parameters
-----------------------------
-
-Alongside the threshold option `-e` seen so far, a couple of other options can have a great impact on the detector behavior. These options are summarized in the following table:
-
-
-| Option | Description                                           | Unit    | Default          |
-| -------|-------------------------------------------------------|---------|------------------|
-| `-n`   | Minimum length an accepted audio activity should have | second  |   0.2 (200 ms)   |
-| `-m`   | Maximum length an accepted audio activity should reach| second  |   5.             |
-| `-s`   | Maximum length of a continuous silence period within  | second  |   0.3 (300 ms)   |
-|        | an accepted audio activity                            |         |                  |
-| `-d`   | Drop trailing silence from an accepted audio activity | boolean |   False          |
-| `-a`   | Analysis window length (default value should be good) | second  |   0.01 (10 ms)   |
-
-Some practical use cases
-------------------------
-
-### 1st practical use case: generate a subtitles template
-
-Using `--printf ` and `--time-format`, the following command, used with an input audio or video file, will generate and an **srt** file template that can be later edited with a subtitles editor in a way that reduces the time needed to define when each utterance starts and where it ends:
-
-    auditok -e 55 -i input.wav -m 10 --printf "{id}\n{start} --> {end}\nPut some text here...\n" --time-format "%h:%m:%s.%i"
-
-Output:
-
-    1
-    00:00:00.730 --> 00:00:01.460
-    Put some text here...
-
-    2
-    00:00:02.440 --> 00:00:03.900
-    Put some text here...
-
-    3
-    00:00:06.410 --> 00:00:06.970
-    Put some text here...
-
-    4
-    00:00:07.260 --> 00:00:08.340
-    Put some text here...
-
-    5
-    00:00:09.510 --> 00:00:09.820
-    Put some text here...
-
-### 2nd Practical use case example: build a (very) basic voice control application
-
-[This repository](https://github.com/amsehili/gspeech-rec) supplies a bash script the can send audio data to Google's
-Speech Recognition service and get its transcription. In the following we will use **auditok** as a lower layer component
-of a voice control application. The basic idea is to tell **auditok** to run, for each detected audio activity, a certain
-number of commands that make up the rest of our voice control application.
-
-Assume you have installed **sox** and downloaded the Speech Recognition script. The sequence of commands to run is:
-
-1- Convert raw audio data to flac using **sox**:
-
-    sox -t raw -r 16000 -c 1 -b 16 -e signed raw_input output.flac
-
-2- Send flac audio data to Google and get its filtered transcription using [speech-rec.sh](https://github.com/amsehili/gspeech-rec/blob/master/speech-rec.sh):
-
-    speech-rec.sh -i output.flac -r 16000
-
-3- Use **grep** to select lines that contain *transcript*:
-
-    grep transcript
-
-
-4- Launch the following script, giving it the transcription as input:
-
-    #!/bin/bash
-
-    read line
-
-    RES=`echo "$line" | grep -i "open firefox"`
-
-    if [[ $RES ]]
-       then
-         echo "Launch command: 'firefox &' ... "
-         firefox &
-         exit 0
-    fi
-
-    exit 0
-
-As you can see, the script can handle one single voice command. It runs firefox if the text it receives contains **open firefox**.
-Save a script into a file named voice-control.sh (don't forget to run a **chmod u+x voice-control.sh**).
-
-Now, thanks to option `-C`, we will use the four instructions with a pipe and tell **auditok** to run them each time it detects
-an audio activity. Try the following command and say *open firefox*:
-
-    rec -q -t raw -r 16000 -c 1 -b 16 -e signed - | auditok -M 5 -m 3 -n 1 --debug-file file.log -e 60 -C "sox -t raw -r 16000 -c 1 -b 16 -e signed $ audio.flac ; speech-rec.sh -i audio.flac -r 16000 | grep transcript | ./voice-control.sh"
-
-Here we used option `-M 5` to limit the amount of read audio data to 5 seconds (**auditok** stops if there are no more data) and
-option `-n 1` to tell **auditok** to only accept tokens of 1 second or more and throw any token shorter than 1 second.
-
-With `--debug-file file.log`, all processing steps are written into file.log with their timestamps, including any run command and the file name the command was given.
-
-
-License
--------
-`auditok` is published under the GNU General Public License Version 3.
-
-Author
-------
-Amine Sehili (<amine.sehili@gmail.com>)
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/README.rst	Sat Oct 26 18:23:52 2019 +0100
@@ -0,0 +1,31 @@
+.. image:: https://travis-ci.org/amsehili/auditok.svg?branch=master
+    :target: https://travis-ci.org/amsehili/auditok
+
+.. image:: https://readthedocs.org/projects/auditok/badge/?version=latest
+    :target: http://auditok.readthedocs.org/en/latest/?badge=latest
+    :alt: Documentation Status
+
+.. code:: python
+
+    from auditok import split
+    audio_regions = split("audio.wav")
+    for region in audio_regions:
+        region.play(progress_bar=True)
+        filename = region.save("/tmp/region_{meta.start:.3f}.wav")
+        print("region saved as: {}".format(filename))
+
+
+
+``auditok`` is an **Audio Activity Detection** tool that can process online data (read from an audio device or from standard input) as well as audio files. It can be used as a command line program and offers an easy to use API.
+
+
+.. code:: python
+
+    from auditok import AudioRegion
+    region = AudioRegion.load("audio.wav")
+    regions = region.split_and_plot()
+
+
+ouptut figure:
+
+.. image:: doc/figures/example_1.png