Skip to main content

A collection of basic python modules for spoken natural language processing

Project description

py-nltools
==========

+-----------------------------------------------------------------------------------------------+
| nltools |
| +-----------+ +-----------+ +------------+ |
| | tokenizer | | phonetics | | threadpool | |
| +-----------+ +-----------+ +------------+ |
| |
| +-----------+ +-----------+ +-----------+ +-----------+ +-----------+ |
| | tts | | asr | | vad | | g2p | | audio | |
| +-----------+ +-----------+ +-----------+ +-----------+ +-----------+ |
| | | | | | |
+-----------------------------------------------------------------------------------------------+
| | | | |
+--------+---------+ +------+----+ | | |
| | | | | | | |
v v v v v v v v
+------+ +--------+ +------+ +-------+ +-----------+ +--------+ +----------+ +------------+
| mary | | eSpeak | | pico | | kaldi | | cmusphinx | | webrtc | | sequitur | | pulseaudio |
+------+ +--------+ +------+ +-------+ +-----------+ +--------+ +----------+ +------------+

A collection of abstraction layers and support functions that form the
natural language processing foundation of the Zamia AI project:

- `phonetics`: translation functions between various phonetic
alphabets (IPA, X-SAMPA, X-ARPABET, …)

- `tts`: abstraction layer towards using eSpeak NG, MaryTTS, SVOX Pico
TTS or a remote TTS server and sequitur g2p

- `asr`: abstraction layer towards using kaldi-asr and pocketsphinx,
models can be found here: <http://goofy.zamia.org/voxforge/>

- `sequiturclient`: g2p using sequitur

- `pulseplayer`: audio playback through pulseaudio

- `pulserecorder`: audio recording through pulseaudio

- `tokenizer`: english and german word tokenizer aimed at spoken
language applications

- `threadpool`: simple thread pool implementation

- `vad`: Voice Activity Detection finite state machine based on webrtc
VAD

I plan to add modules as I need them in the Zamia AI projects. Some
modules like `phonetics` and `tokenizer` have some overlap with larger
projects like NLTK or spaCy - my modules tend to be more hands-on and
simple minded than these and therefore are in no way meant to replace
them.

Requirements
------------

**Note**: probably incomplete.

- Python 2.7

- for TTS one or more of:

- MaryTTS, py-marytts

- espeak-ng, py-espeak-ng

- SVOX Pico TTS, py-picotts

- for ASR one or more of:

- kaldi-asr 5.1, py-kaldi-asr

- pocketsphinx

- sequitur

- pulseaudio

- webrtc

License
-------

My own code is Apache-2.0 licensed unless otherwise noted in the
script’s copyright headers.

Some scripts and files are based on works of others, in those cases it
is my intention to keep the original license intact. Please make sure to
check the copyright headers inside for more information.

Author
------

Guenter Bartsch \<<guenter@zamia.org>\>


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py-nltools-0.1.6.tar.gz (24.0 kB view hashes)

Uploaded source

Built Distribution

py_nltools-0.1.6-py2.py3-none-any.whl (32.0 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page