Git Product home page Git Product logo

asterisk-speech-recog's Introduction

==============================================
    Speech recognition script for Asterisk
==============================================

This script makes use of Google's speech recognition engine
in order to render speech to text and return it back to the dialplan
as an asterisk channel variable.

------------
Requirements
------------
Perl          The Perl Programming Language
perl-libwww   The World-Wide Web library for Perl
IO-Socket-SSL Perl module that implements an interface to SSL sockets.
flac          Free Lossless Audio Codec
Internet access in order to contact google and get the speech data.

** Optional/Highly experimental **
speex         patent-free audio compression format designed for speech.
              works only with patched speex encoder that supports
              MIME "x-speex-with-header-byte"
              https://github.com/zaf/Speex-with-header-bytes

------------
Installation
------------
To install copy speech-recog.agi to your agi-bin directory.
Usually this is /var/lib/asterisk/agi-bin/
To make sure check your /etc/asterisk/asterisk.conf file

-----
Usage
-----
agi(speech-recog.agi,[lang],[timeout],[intkey],[NOBEEP])
Records from the current channel until 2 seconds of silence are detected
(this can be set by the user by the 'timeout' argument, -1 for no timeout) or the
interrupt key (# by default) is pressed. If NOBEEP is set, no beep sound is played
back to the user to indicate the start of the recording.
The recorded sound is send over to googles speech recognition service and the
returned text string is assigned as the value of the channel variable 'utterance'.
The scripts sets the following channel variables:

status     : Return status. 0 means success, non zero values indicating different errors.
id         : Some id string that googles engine returns, not very useful(?).
utterance  : The generated text string.
confidence : A value between 0 and 1 indicating the probability of a correct recognition.
             Values bigger than 0.95 usually mean that the resulted text is correct.

--------
Examples
--------
sample dialplan code for your extensions.conf

;Simple speech recognition
exten => 1234,1,Answer()
exten => 1234,n,agi(speech-recog.agi,en-US)
exten => 1234,n,Verbose(1,The text you just said is: ${utterance})
exten => 1234,n,Verbose(1,The probability to be right is: ${confidence})
exten => 1234,n,Hangup()

;Speech recognition demo also using googletts.agi for text to speech synthesis:
exten => 1235,1,Answer()
exten => 1235,n,agi(googletts.agi,"Say something in English, when done press the pound key.",en)
exten => 1235,n(record),agi(speech-recog.agi,en-US)
exten => 1235,n,Verbose(1,Script returned: ${status} , ${id} , ${confidence} , ${utterance})

;Check return status:
exten => 1235,n,GotoIf($["${status}" = "0"]?success:fail)

;Check the probability of a successful recognition:
exten => 1235,n(success),GotoIf($["${confidence}" > "0.8"]?playback:retry)

;Playback the text
exten => 1235,n(playback),agi(googletts.agi,"The text you just said was...",en)
exten => 1235,n,agi(googletts.agi,"${utterance}",en)
exten => 1235,n,goto(end)

;Retry in case speech recognition wasn't successful:
exten => 1235,n(retry),agi(googletts.agi,"Can you please repeat more clearly?",en)
exten => 1235,n,goto(record)

exten => 1235,n(fail),agi(googletts.agi,"Failed to get speech data.",en)
exten => 1235,n(end),Hangup()

;Voice dialing example
exten => 1236,1,Answer()
exten => 1236,n,agi(googletts.agi,"PLease say the number you want to dial.",en)
exten => 1236,n(record),agi(speech-recog.agi,en-US)
exten => 1236,n,GotoIf($[$["${status}" = "0"] & $["${confidence}" > "0.8"]]?success:retry)

exten => 1236,n(success),goto(${utterance},1)

exten => 1236,n(retry),agi(googletts.agi,"Can you please repeat?",en)
exten => 1236,n,goto(record)

Under the folder wolfram you can find a sample agi script that in combination with speech-recog.agi
sends queries to WolframAlpha and returs the answers as a dialplan variable. See wolfram/README for
details and dialplan examples.

-------------------
Supported Languages
-------------------
[['Afrikaans',       ['af-ZA']],
 ['Bahasa Indonesia',['id-ID']],
 ['Bahasa Melayu',   ['ms-MY']],
 ['Català',          ['ca-ES']],
 ['Čeština',         ['cs-CZ']],
 ['Deutsch',         ['de-DE']],
 ['English',         ['en-AU', 'Australia'],
                     ['en-CA', 'Canada'],
                     ['en-IN', 'India'],
                     ['en-NZ', 'New Zealand'],
                     ['en-ZA', 'South Africa'],
                     ['en-GB', 'United Kingdom'],
                     ['en-US', 'United States']],
 ['Español',         ['es-AR', 'Argentina'],
                     ['es-BO', 'Bolivia'],
                     ['es-CL', 'Chile'],
                     ['es-CO', 'Colombia'],
                     ['es-CR', 'Costa Rica'],
                     ['es-EC', 'Ecuador'],
                     ['es-SV', 'El Salvador'],
                     ['es-ES', 'España'],
                     ['es-US', 'Estados Unidos'],
                     ['es-GT', 'Guatemala'],
                     ['es-HN', 'Honduras'],
                     ['es-MX', 'México'],
                     ['es-NI', 'Nicaragua'],
                     ['es-PA', 'Panamá'],
                     ['es-PY', 'Paraguay'],
                     ['es-PE', 'Perú'],
                     ['es-PR', 'Puerto Rico'],
                     ['es-DO', 'República Dominicana'],
                     ['es-UY', 'Uruguay'],
                     ['es-VE', 'Venezuela']],
 ['Euskara',         ['eu-ES']],
 ['Français',        ['fr-FR']],
 ['Galego',          ['gl-ES']],
 ['Hrvatski',        ['hr_HR']],
 ['IsiZulu',         ['zu-ZA']],
 ['Íslenska',        ['is-IS']],
 ['Italiano',        ['it-IT', 'Italia'],
                     ['it-CH', 'Svizzera']],
 ['Magyar',          ['hu-HU']],
 ['Nederlands',      ['nl-NL']],
 ['Norsk bokmål',    ['nb-NO']],
 ['Polski',          ['pl-PL']],
 ['Português',       ['pt-BR', 'Brasil'],
                     ['pt-PT', 'Portugal']],
 ['Română',          ['ro-RO']],
 ['Slovenčina',      ['sk-SK']],
 ['Suomi',           ['fi-FI']],
 ['Svenska',         ['sv-SE']],
 ['Türkçe',          ['tr-TR']],
 ['български',       ['bg-BG']],
 ['Pусский',         ['ru-RU']],
 ['Српски',          ['sr-RS']],
 ['한국어',            ['ko-KR']],
 ['中文',             ['cmn-Hans-CN', '普通话 (**大陆)'],
                     ['cmn-Hans-HK', '普通话 (香港)'],
                     ['cmn-Hant-TW', '中文 (台灣)'],
                     ['yue-Hant-HK', '粵語 (香港)']],
 ['日本語',           ['ja-JP']],
 ['Lingua latīna',   ['la']]];

-----------------------
Security Considerations
-----------------------
This script contacts googles' servers in order send the recorded voice data and get back
the resulted text. The script uses SSL by default to encrypt all the traffic between
your pbx and google servers so no 3rd party can eavesdrop your communication, but your
voice data will be available to Google under a not yet defined policy.

-------
License
-------
The speech-recog script for asterisk is distributed under the GNU General Public
License v2. See COPYING for details.

--------
Homepage
--------
http://zaf.github.com/asterisk-speech-recog/

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.