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aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
https://github.com/readbeyond/aeneas

alignment audio cli dtw espeak espeak-ng festival ffmpeg forced-alignment linux macos nlp python smil speech srt text text-to-speech tts windows

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aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

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# aeneas

**aeneas** is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment).

* Version: 1.7.3
* Date: 2017-03-15
* Developed by: [ReadBeyond](http://www.readbeyond.it/)
* Lead Developer: [Alberto Pettarin](http://www.albertopettarin.it/)
* License: the GNU Affero General Public License Version 3 (AGPL v3)
* Contact: [[email protected]](mailto:[email protected])
* Quick Links: [Home](http://www.readbeyond.it/aeneas/) - [GitHub](https://github.com/readbeyond/aeneas/) - [PyPI](https://pypi.python.org/pypi/aeneas/) - [Docs](http://www.readbeyond.it/aeneas/docs/) - [Tutorial](http://www.readbeyond.it/aeneas/docs/clitutorial.html) - [Benchmark](https://readbeyond.github.io/aeneas-benchmark/) - [Mailing List](https://groups.google.com/d/forum/aeneas-forced-alignment) - [Web App](http://aeneasweb.org)

## Goal

**aeneas** automatically generates a **synchronization map**
between a list of text fragments
and an audio file containing the narration of the text.
In computer science this task is known as
(automatically computing a) **forced alignment**.

For example, given
[this text file](https://raw.githubusercontent.com/readbeyond/aeneas/master/aeneas/tests/res/container/job/assets/p001.xhtml)
and
[this audio file](https://raw.githubusercontent.com/readbeyond/aeneas/master/aeneas/tests/res/container/job/assets/p001.mp3),
**aeneas** determines, for each fragment, the corresponding time interval in the audio file:

```
1 => [00:00:00.000, 00:00:02.640]
From fairest creatures we desire increase, => [00:00:02.640, 00:00:05.880]
That thereby beauty's rose might never die, => [00:00:05.880, 00:00:09.240]
But as the riper should by time decease, => [00:00:09.240, 00:00:11.920]
His tender heir might bear his memory: => [00:00:11.920, 00:00:15.280]
But thou contracted to thine own bright eyes, => [00:00:15.280, 00:00:18.800]
Feed'st thy light's flame with self-substantial fuel, => [00:00:18.800, 00:00:22.760]
Making a famine where abundance lies, => [00:00:22.760, 00:00:25.680]
Thy self thy foe, to thy sweet self too cruel: => [00:00:25.680, 00:00:31.240]
Thou that art now the world's fresh ornament, => [00:00:31.240, 00:00:34.400]
And only herald to the gaudy spring, => [00:00:34.400, 00:00:36.920]
Within thine own bud buriest thy content, => [00:00:36.920, 00:00:40.640]
And tender churl mak'st waste in niggarding: => [00:00:40.640, 00:00:43.640]
Pity the world, or else this glutton be, => [00:00:43.640, 00:00:48.080]
To eat the world's due, by the grave and thee. => [00:00:48.080, 00:00:53.240]
```

![Waveform with aligned labels, detail](wiki/align.png)

This synchronization map can be output to file
in several formats, depending on its application:

* research: Audacity (AUD), ELAN (EAF), TextGrid;
* digital publishing: SMIL for EPUB 3;
* closed captioning: SubRip (SRT), SubViewer (SBV/SUB), TTML, WebVTT (VTT);
* Web: JSON;
* further processing: CSV, SSV, TSV, TXT, XML.

## System Requirements, Supported Platforms and Installation

### System Requirements

1. a reasonably recent machine (recommended 4 GB RAM, 2 GHz 64bit CPU)
2. [Python](https://python.org/) 2.7 (Linux, OS X, Windows) or 3.5 or later (Linux, OS X)
3. [FFmpeg](https://www.ffmpeg.org/)
4. [eSpeak](http://espeak.sourceforge.net/)
5. Python packages `BeautifulSoup4`, `lxml`, and `numpy`
6. Python headers to compile the Python C/C++ extensions (optional but strongly recommended)
7. A shell supporting UTF-8 (optional but strongly recommended)

### Supported Platforms

**aeneas** has been developed and tested on **Debian 64bit**,
with **Python 2.7** and **Python 3.5**,
which are the **only supported platforms** at the moment.
Nevertheless, **aeneas** has been confirmed to work on
other Linux distributions, Mac OS X, and Windows.
See the
[PLATFORMS file](https://github.com/readbeyond/aeneas/blob/master/wiki/PLATFORMS.md)
for details.

If installing **aeneas** natively on your OS proves difficult,
you are strongly encouraged to use
[aeneas-vagrant](https://github.com/readbeyond/aeneas-vagrant),
which provides **aeneas** inside a virtualized Debian image
running under
[VirtualBox](https://www.virtualbox.org/)
and
[Vagrant](http://www.vagrantup.com/),
which can be installed on any modern OS (Linux, Mac OS X, Windows).

### Installation

All-in-one installers are available for Mac OS X and Windows,
and a Bash script for deb-based Linux distributions (Debian, Ubuntu)
is provided in this repository.
It is also possible to download a VirtualBox+Vagrant virtual machine.
Please see the
[INSTALL file](https://github.com/readbeyond/aeneas/blob/master/wiki/INSTALL.md)
for detailed, step-by-step installation procedures for different operating systems.

The generic OS-independent procedure is simple:

1. **Install**
[Python](https://python.org/) (2.7.x preferred),
[FFmpeg](https://www.ffmpeg.org/), and
[eSpeak](http://espeak.sourceforge.net/)

2. Make sure the following **executables** can be called from your **shell**:
`espeak`, `ffmpeg`, `ffprobe`, `pip`, and `python`

3. First install `numpy` with `pip` and then `aeneas` (this order is important):

```bash
pip install numpy
pip install aeneas
```

4. To **check** whether you installed **aeneas** correctly, run:

```bash
python -m aeneas.diagnostics
```

## Usage

1. Run without arguments to get the **usage message**:

```bash
python -m aeneas.tools.execute_task
python -m aeneas.tools.execute_job
```

You can also get a list of **live examples**
that you can immediately run on your machine
thanks to the included files:

```bash
python -m aeneas.tools.execute_task --examples
python -m aeneas.tools.execute_task --examples-all
```

2. To **compute a synchronization map** `map.json` for a pair
(`audio.mp3`, `text.txt` in
[plain](http://www.readbeyond.it/aeneas/docs/textfile.html#aeneas.textfile.TextFileFormat.PLAIN)
text format), you can run:

```bash
python -m aeneas.tools.execute_task \
audio.mp3 \
text.txt \
"task_language=eng|os_task_file_format=json|is_text_type=plain" \
map.json
```

(The command has been split into lines with `\` for visual clarity;
in production you can have the entire command on a single line
and/or you can use shell variables.)

To **compute a synchronization map** `map.smil` for a pair
(`audio.mp3`,
[page.xhtml](http://www.readbeyond.it/aeneas/docs/textfile.html#aeneas.textfile.TextFileFormat.UNPARSED)
containing fragments marked by `id` attributes like `f001`),
you can run:

```bash
python -m aeneas.tools.execute_task \
audio.mp3 \
page.xhtml \
"task_language=eng|os_task_file_format=smil|os_task_file_smil_audio_ref=audio.mp3|os_task_file_smil_page_ref=page.xhtml|is_text_type=unparsed|is_text_unparsed_id_regex=f[0-9]+|is_text_unparsed_id_sort=numeric" \
map.smil
```

As you can see, the third argument (the _configuration string_)
specifies the parameters controlling the I/O formats
and the processing options for the task.
Consult the
[documentation](http://www.readbeyond.it/aeneas/docs/)
for details.

3. If you have several tasks to process,
you can create a **job container**
to batch process them:

```bash
python -m aeneas.tools.execute_job job.zip output_directory
```

File `job.zip` should contain a `config.txt` or `config.xml`
configuration file, providing **aeneas**
with all the information needed to parse the input assets
and format the output sync map files.
Consult the
[documentation](http://www.readbeyond.it/aeneas/docs/)
for details.

The
[documentation](http://www.readbeyond.it/aeneas/docs/)
contains a highly suggested
[tutorial](http://www.readbeyond.it/aeneas/docs/clitutorial.html)
which explains how to use the built-in command line tools.

## Documentation and Support

* Documentation:
[http://www.readbeyond.it/aeneas/docs/](http://www.readbeyond.it/aeneas/docs/)
* Command line tools tutorial:
[http://www.readbeyond.it/aeneas/docs/clitutorial.html](http://www.readbeyond.it/aeneas/docs/clitutorial.html)
* Library tutorial:
[http://www.readbeyond.it/aeneas/docs/libtutorial.html](http://www.readbeyond.it/aeneas/docs/libtutorial.html)
* Old, verbose tutorial:
[A Practical Introduction To The aeneas Package](http://www.albertopettarin.it/blog/2015/05/21/a-practical-introduction-to-the-aeneas-package.html)
* Mailing list:
[https://groups.google.com/d/forum/aeneas-forced-alignment](https://groups.google.com/d/forum/aeneas-forced-alignment)
* Changelog:
[http://www.readbeyond.it/aeneas/docs/changelog.html](http://www.readbeyond.it/aeneas/docs/changelog.html)
* High level description of how aeneas works:
[HOWITWORKS](https://github.com/readbeyond/aeneas/blob/master/wiki/HOWITWORKS.md)
* Development history:
[HISTORY](https://github.com/readbeyond/aeneas/blob/master/wiki/HISTORY.md)
* Testing:
[TESTING](https://github.com/readbeyond/aeneas/blob/master/wiki/TESTING.md)
* Benchmark suite:
[https://readbeyond.github.io/aeneas-benchmark/](https://readbeyond.github.io/aeneas-benchmark/)

## Supported Features

* Input text files in `parsed`, `plain`, `subtitles`, or `unparsed` (XML) format
* Multilevel input text files in `mplain` and `munparsed` (XML) format
* Text extraction from XML (e.g., XHTML) files using `id` and `class` attributes
* Arbitrary text fragment granularity (single word, subphrase, phrase, paragraph, etc.)
* Input audio file formats: all those readable by `ffmpeg`
* Output sync map formats: AUD, CSV, EAF, JSON, SMIL, SRT, SSV, SUB, TEXTGRID, TSV, TTML, TXT, VTT, XML
* Confirmed working on 38 languages: AFR, ARA, BUL, CAT, CYM, CES, DAN, DEU, ELL, ENG, EPO, EST, FAS, FIN, FRA, GLE, GRC, HRV, HUN, ISL, ITA, JPN, LAT, LAV, LIT, NLD, NOR, RON, RUS, POL, POR, SLK, SPA, SRP, SWA, SWE, TUR, UKR
* MFCC and DTW computed via Python C extensions to reduce the processing time
* Several built-in TTS engine wrappers: AWS Polly TTS API, eSpeak (default), eSpeak-ng, Festival, MacOS (via say), Nuance TTS API
* Default TTS (eSpeak) called via a Python C extension for fast audio synthesis
* Possibility of running a custom, user-provided TTS engine Python wrapper (e.g., included example for speect)
* Batch processing of multiple audio/text pairs
* Download audio from a YouTube video
* In multilevel mode, recursive alignment from paragraph to sentence to word level
* In multilevel mode, MFCC resolution, MFCC masking, DTW margin, and TTS engine can be specified for each level independently
* Robust against misspelled/mispronounced words, local rearrangements of words, background noise/sporadic spikes
* Adjustable splitting times, including a max character/second constraint for CC applications
* Automated detection of audio head/tail
* Output an HTML file for fine tuning the sync map manually (`finetuneas` project)
* Execution parameters tunable at runtime
* Code suitable for Web app deployment (e.g., on-demand cloud computing instances)
* Extensive test suite including 1,200+ unit/integration/performance tests, that run and must pass before each release

## Limitations and Missing Features

* Audio should match the text: large portions of spurious text or audio might produce a wrong sync map
* Audio is assumed to be spoken: not suitable for song captioning, YMMV for CC applications
* No protection against memory swapping: be sure your amount of RAM is adequate for the maximum duration of a single audio file (e.g., 4 GB RAM => max 2h audio; 16 GB RAM => max 10h audio)
* [Open issues](https://github.com/readbeyond/aeneas/issues)

### A Note on Word-Level Alignment

A significant number of users runs **aeneas** to align audio and text
at word-level (i.e., each fragment is a word).
Although **aeneas** was not designed with word-level alignment in mind
and the results might be inferior to
[ASR-based forced aligners](https://github.com/pettarin/forced-alignment-tools)
for languages with good ASR models,
**aeneas** offers some options to improve
the quality of the alignment at word-level:

* multilevel text (since v1.5.1),
* MFCC nonspeech masking (since v1.7.0, disabled by default),
* use better TTS engines, like Festival or AWS/Nuance TTS API (since v1.5.0).

If you use the ``aeneas.tools.execute_task`` command line tool,
you can add ``--presets-word`` switch to enable MFCC nonspeech masking, for example:

```bash
$ python -m aeneas.tools.execute_task --example-words --presets-word
$ python -m aeneas.tools.execute_task --example-words-multilevel --presets-word
```

If you use **aeneas** as a library, just set the appropriate
``RuntimeConfiguration`` parameters.
Please see the
[command line tutorial](http://www.readbeyond.it/aeneas/docs/clitutorial.html)
for details.

## License

**aeneas** is released under the terms of the
GNU Affero General Public License Version 3.
See the
[LICENSE file](https://github.com/readbeyond/aeneas/blob/master/LICENSE) for details.

Licenses for third party code and files included in **aeneas**
can be found in the
[licenses](https://github.com/readbeyond/aeneas/blob/master/licenses/README.md) directory.

No copy rights were harmed in the making of this project.

## Supporting and Contributing

### Sponsors

* **July 2015**: [Michele Gianella](https://plus.google.com/+michelegianella/about) generously supported the development of the boundary adjustment code (v1.0.4)

* **August 2015**: [Michele Gianella](https://plus.google.com/+michelegianella/about) partially sponsored the port of the MFCC/DTW code to C (v1.1.0)

* **September 2015**: friends in West Africa partially sponsored the development of the head/tail detection code (v1.2.0)

* **October 2015**: an anonymous donation sponsored the development of the "YouTube downloader" option (v1.3.0)

* **April 2016**: the Fruch Foundation kindly sponsored the development and documentation of v1.5.0

* **December 2016**: the [Centro Internazionale Del Libro Parlato "Adriano Sernagiotto"](http://www.libroparlato.org/) (Feltre, Italy) partially sponsored the development of the v1.7 series

### Supporting

Would you like supporting the development of **aeneas**?

I accept sponsorships to

* fix bugs,
* add new features,
* improve the quality and the performance of the code,
* port the code to other languages/platforms, and
* improve the documentation.

Feel free to
[get in touch](mailto:[email protected]).

### Contributing

If you think you found a bug
or you have a feature request,
please use the
[GitHub issue tracker](https://github.com/readbeyond/aeneas/issues)
to submit it.

If you want to ask a question
about using **aeneas**,
your best option consists in sending an email to the
[mailing list](https://groups.google.com/d/forum/aeneas-forced-alignment).

Finally, code contributions are welcome!
Please refer to the
[Code Contribution Guide](https://github.com/readbeyond/aeneas/blob/master/wiki/CONTRIBUTING.md)
for details about the branch policies and the code style to follow.

## Acknowledgments

Many thanks to **Nicola Montecchio**,
who suggested using MFCCs and DTW,
and co-developed the first experimental code
for aligning audio and text.

**Paolo Bertasi**, who developed the
APIs and Web application for ReadBeyond Sync,
helped shaping the structure of this package
for its asynchronous usage.

**Chris Hubbard** prepared the files for
packaging aeneas as a Debian/Ubuntu `.deb`.

**Daniel Bair** prepared the `brew` formula
for installing **aeneas** and its dependencies on Mac OS X.

**Daniel Bair**, **Chris Hubbard**, and **Richard Margetts**
packaged the installers for Mac OS X and Windows.

**Firat Ozdemir** contributed the `finetuneas`
HTML/JS code for fine tuning sync maps in the browser.

**Willem van der Walt** contributed the code snippet
to output a sync map in TextGrid format.

**Chris Vaughn** contributed the MacOS TTS wrapper.

All the mighty
[GitHub contributors](https://github.com/readbeyond/aeneas/graphs/contributors),
and the members of the
[Google Group](https://groups.google.com/d/forum/aeneas-forced-alignment).