MRCP
Asterisk
Watson SR and SS
Usage Guide
Created: September 28, 2018
Last updated: September 28, 2018
Author: Arsen Chaloyan
Table of Contents
2 Generic Speech Recognition API
3 Suite of UniMRCP Applications
This guide describes how to utilize the IBM Watson Speech services with Asterisk.
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Note that the Asterisk and the UniMRCP server typically reside on different hosts in a LAN, although both might be installed on the same host.
Installation of the Asterisk and the UniMRCP server with the Watson SR and SS plugins is not covered in this document. Visit the corresponding web pages for more information.
Instructions provided in this guide are applicable to the following versions.
UniMRCP Modules for Asterisk 1.5.0 and above UniMRCP Watson SR Plugin 1.0.0 and above UniMRCP Watson SS Plugin 1.0.0 and above |
The module res_speech_unimrcp.so provides an implementation of the Generic Speech Recognition API of Asterisk, based on the UniMRCP client library.
This section outlines major configuration steps required for use of the module res_speech_unimrcp.so with the UniMRCP server.
Check the name of the profile, referenced in the configuration file res-speech-unimrcp.conf, which is located in the configuration directory of Asterisk. Use uni2 for MRCPv2, and uni1 for MRCPv1.
[general] unimrcp-profile = uni2 ; UniMRCP MRCPv2 Server ; unimrcp-profile = uni1 ; UniMRCP MRCPv1 Server |
Open the configuration file unimrcpclient.xml, located in the configuration directory of UniMRCP and specify IP addresses of the client and the server. In the following example, the Asterisk/UniMRCP client is located on 10.0.0.1 and the UniMRCP server is on 10.0.0.2.
<properties> <!-- <ip type="auto"/> -->
<ip>10.0.0.1</ip> <server-ip>10.0.0.2</server-ip> </properties> |
Make use of a built-in speech grammar transcribe for recognition, having no speech contexts defined, by adding the following entries in the Asterisk configuration file extensions.conf.
[res-speech-unimrcp-1] exten => s,1,Answer() exten => s,2,SpeechCreate() exten => s,3,SpeechActivateGrammar(builtin:speech/transcribe) exten => s,4,SpeechBackground(beep, 20) exten => s,5,Verbose(1, "Recognition result count: ${SPEECH(results)}") exten => s,6,GotoIf($["${SPEECH(results)}" = "0"]?7:9) exten => s,7,Playback(error) exten => s,8,Goto(3) exten => s,9,Verbose(1, "Recognition result: ${SPEECH_TEXT(0)}, confidence score: ${SPEECH_SCORE(0)}, grammar-uri: ${SPEECH_GRAMMAR(0)}") exten => s,10,SpeechDestroy() exten => s,11,Hangup() |
In the Asterisk dialplan, associate the provided sample to an extension, for example, 701.
exten => 701,1,Goto(res-speech-unimrcp-1,s,1) |
Place a test call and make sure recognition works as expected.
The module app_unimrcp.so provides a suite of speech recognition and synthesis applications for Asterisk.
This section outlines major configuration steps required for use of the module app_unimrcp.so with the UniMRCP server.
Open the configuration file mrcp.conf, located in the configuration directory of Asterisk, and add two profiles for MRCPv2 and MRCPv1 respectively. In the following example, the Asterisk/UniMRCP client is located on 10.0.0.1 and the UniMRCP server is on 10.0.0.2.
[uni2] ; MRCP settings version = 2 ; ; SIP settings server-ip = 10.0.0.2 server-port = 8060 ; SIP user agent client-ip = 10.0.0.1 client-port = 25097 sip-transport = udp ; ; RTP factory rtp-ip = 10.0.0.1 rtp-port-min = 28000 rtp-port-max = 29000 ; ; Jitter buffer settings playout-delay = 50 max-playout-delay = 200 ; RTP settings ptime = 20 codecs = PCMU PCMA L16/96/8000 telephone-event/101/8000 ; RTCP settings rtcp = 0 |
[uni1] ; MRCP settings version = 1 ; ; RTSP settings server-ip = 10.0.0.2 server-port = 1554 resource-location = media speechsynth = speechsynthesizer speechrecog = speechrecognizer; ; ; RTP factory rtp-ip = 10.0.0.1 rtp-port-min = 27000 rtp-port-max = 28000 ; ; Jitter buffer settings playout-delay = 50 max-playout-delay = 200 ; RTP settings ptime = 20 codecs = PCMU PCMA L16/96/8000 telephone-event/101/8000 ; RTCP settings rtcp = 0 |
Make use of a built-in speech grammar transcribe for recognition, by adding the following entries in the Asterisk configuration file extensions.conf.
[app-unimrcp-1] exten => s,1,Answer exten => s,2,MRCPRecog("builtin:speech/transcribe", spl=en-US&f=beep&p=uni2) exten => s,3,Goto(mrcprecog-output,s,1) |
Note the macro mrcprecog-output, used in the example above, is defined in the file mrcp_sample_apps.conf.
In the Asterisk dialplan, associate the provided sample to an extension, for example, 801.
exten => 801,1,Goto(app-unimrcp-1,s,1) |
Place a test call and make sure recognition works as expected.
Use the application MRCPSynth to speech synthesis.
[app-unimrcp-2] exten => s,1,Answer exten => s,2,MRCPSynth(Welcome to Asterisk,l=en-US&p=uni2) |
In the Asterisk dialplan, associate the provided sample to an extension, for example, 802.
exten => 802,1,Goto(app-unimrcp-2,s,1) |
Place a test call and listen to the synthesized message.
Use the application SynthAndRecog for speech synthesis and recognition.
[app-unimrcp-3] exten => s,1,Answer exten => s,2, SynthAndRecog(Please say something,builtin:speech/transcribe, spl=en-US&p=uni2) exten => s,3,Goto(mrcprecog-output,s,1) |
In the Asterisk dialplan, associate the provided sample to an extension, for example, 803.
exten => 803,1,Goto(app-unimrcp-3,s,1) |
Place a test call and listen to the synthesized prompt and say something. Make sure recognition works as expected.