MRCP
GoVivace SR Plugin
Administrator Guide
Distribution: Debian / Ubuntu
Created: June 6, 2019
Last updated: March 15, 2021
Author: Arsen Chaloyan
Table of Contents
2 Installing Deb Packages Using Apt-Get
3 Installing Deb Packages Manually
3.2 Package Installation Order
5 Configuring Server and Plugin
5.1 Plugin Factory Configuration
Language and Accent Identification
This guide describes how to obtain and install binary packages for the GoVivace Speech Recognition (GoVivaceSR) plugin to the UniMRCP server on Debian-based Linux distributions. The document is intended for system administrators and developers.
Instructions provided in this guide are applicable to the following versions.
UniMRCP 1.6.0 and above UniMRCP GoVivaceSR Plugin 1.0.0 and above |
UniMRCP deb packages are currently available for x86_64 (64-bit) architecture only.
Operating System |
Released |
End of Support |
Ubuntu 16.04 LTS (xenial) |
June 2019 |
March 2021 |
Ubuntu 18.04 LTS (bionic) |
June 2019 |
TBA |
Ubuntu 20.04 LTS (focal) |
March 2021 |
TBA |
Note: packages for other distributions can be made available upon request. For more information, contact services@unimrcp.org.
UniMRCP binary packages are available to authenticated users only. In order to register a free account with UniMRCP, please visit the following page.
Note: a new account needs to be verified and activated prior further proceeding.
Using the APT package handling utility (apt-get) is recommended for installation of UniMRCP binary packages.
machine unimrcp.org login username password password |
Note: the username and password fields must be replaced with the corresponding account credentials.
Configure a repository by creating a file /etc/apt/sources.list.d/unimrcp.list containing the following entry.
deb [arch=amd64] https://unimrcp.org/repo/apt/ distr main |
Note: the distr field must be replaced with the corresponding distribution code name such as xenial, bionic, focal, etc. To determine the distribution code, use `lsb_release -cs`.
For verification of binary packages, UniMRCP provides a public GnuPG key, which can be retrieved and installed as follows.
wget -O - https://unimrcp.org/keys/unimrcp-gpg-key.public | sudo apt-key add - |
In order to check for updates and apply the changes in the APT configuration, use the following command.
sudo apt-get update |
In order to install the GoVivaceSR plugin, including all the dependencies, use the following command.
sudo apt-get install unimrcp-govivace-sr |
As a result, apt-get will check and prompt to download all the required packages by installing them in the directory /opt/unimrcp.
In order to install the additional data files for the sample client application umc, the following command can be used.
sudo apt-get install umc-addons |
Note: this package is optional and provides additional data which can be used for validation of basic setup.
UniMRCP deb packages can be installed manually using the dpkg utility. Note, however, that the system administrator should take care of package dependencies and install all the packages in appropriate order.
The deb packages have the following naming convention:
$packagename_$universion-$distr_$arch.deb |
where
· packagename is the name of a package
· universion is the UniMRCP version
· distr is the distribution code name (trusty, xenial, …)
· arch is the architecture (amd64, i386, all, …)
The following is a list of UniMRCP deb packages required for the installation of the GoVivaceSR plugin.
Package Name |
Description |
unimrcp-govivace-sr |
GoVivaceSR plugin to the server. |
unilibevent |
UniMRCP edition of the libevent library. |
umc-addons |
Sample en-US data files used with umc. [Optional] |
unilicnodegen |
Node information retrieval tool, required for license deployment. |
unimrcp-server |
Shared library and application of the server. |
unimrcp-client |
Shared libraries and sample applications of the client. [Optional] |
unimrcp-demo-plugins |
Set of demo plugins to the server. [Optional] |
unimrcp-common |
Data common for the client and the server. |
uniapr |
UniMRCP edition of the Apache Portable Runtime (APR) library. |
uniapr-util |
UniMRCP edition of the Apache Portable Runtime Utility (APR-Util) library. |
unisofia-sip |
UniMRCP edition of the Sofia SIP library. |
Packages for APR, APR-Util and Sofia-SIP libraries must be installed first.
sudo dpkg --install uniapr_$aprversion-$distr_$arch.deb sudo dpkg --install uniapr-util_$apuversion-$distr_$arch.deb sudo dpkg --install unisofia-sip_$sofiaversion-$distr_$arch.deb |
Then, a package containing common data for the client and the server, and a package for the server should follow.
sudo dpkg --install unimrcp-common_$universion-$distr_$arch.deb sudo dpkg --install unimrcp-server_$universion-$distr_$arch.deb |
Next, a package containing the utility tool unilicnodegen, required for license deployment.
sudo dpkg --install unilicnodegen_$toolversion-$distr_$arch.deb |
Next, a package containing the libevent library.
sudo dpkg --install unilibevent_$libeventversion-$distr_$arch.deb |
Finally, a package containing the GoVivaceSR plugin should follow.
sudo dpkg --install unimrcp-govivace-sr_$universion-$distr_all.deb |
The GoVivaceSR plugin to the UniMRCP server is a commercial product, which requires a license file to be installed.
The following license types are available:
· Trial
· Production
· Test and Development
The license files are bound to a node the product is installed on. In order to obtain a license, the corresponding node information needs to be retrieved and submitted for generation of a license file.
Use the installed tool unilicnodegen to retrieve the node information.
sudo /opt/unimrcp/bin/unilicnodegen |
As a result, a text file uninode.info will be saved in the current directory. Submit the file uninode.info for license generation to services@unimrcp.org by mentioning the product name in the subject.
The license file needs to be placed into the directory /opt/unimrcp/data.
sudo cp umsgovivacesr_*.lic /opt/unimrcp/data |
In order to load the GoVivaceSR plugin into the UniMRCP server, open the file unimrcpserver.xml, located in the directory /opt/unimrcp/conf, and add the following entry under the XML element <plugin-factory>. Disable other recognition plugins, if available. The remaining demo plugins might also be disabled, if not installed.
<!-- Factory of plugins (MRCP engines) --> <plugin-factory> <engine id="Demo-Synth-1" name="demosynth" enable="true"/> <engine id="Demo-Recog-1" name="demorecog" enable="false"/> <engine id="Demo-Verifier-1" name="demoverifier" enable="true"/> <engine id="Recorder-1" name="mrcprecorder" enable="true"/> <engine id="GoVivace-SR-1" name="umsgovivacesr" enable="true"/> </plugin-factory> |
In order to support audio data sampled at 16 kHz, the corresponding codecs needs to be specified in the configuration file unimrcpserver.xml under the XML element <rtp-settings> as follows.
<rtp-settings id="RTP-Settings-1"> <codecs own-preference="false"> PCMU PCMA L16/96/8000 telephone-event/101/8000 PCMU/97/16000 PCMA/98/16000 L16/99/16000 telephone-event/102/16000</codecs> </rtp-settings> |
For the basic verification test to work, similar settings should be specified in the client configuration file unimrcpclient.xml as well.
<rtp-settings id="RTP-Settings-1"> <codecs>PCMU PCMA L16/96/8000 telephone-event/101/8000 PCMU/97/16000 PCMA/98/16000 L16/99/16000 telephone-event/102/16000</codecs> </rtp-settings> |
In order to enable log output from the plugin and set filtering rules, open the configuration file logger.xml, located in the directory /opt/unimrcp/conf, and add the following entry under the element <sources>.
<source name="GOVIVACESR-PLUGIN" priority="INFO" masking="NONE"/> |
The configuration file of GoVivace plugin is umsgovivacesr.xml, located in the directory /opt/unimrcp/conf.
While default settings should be sufficient for generic use, service endpoints need to be configured accordingly.
<!-- Server Attributes: * language This parameter specifies the language supported by the server. * sampling-rate This parameter specifies the sampling rate supported by the server. * uri This parameter specifies the Service URI of the server. * method This parameter specifies the method supported by the server. * secret-key This parameter specifies a secret key used for authentication to the server. Elements: * None --> <server name="gender-1" language="en-US" sampling-rate="8000" uri="wss://services.govivace.com:7684" method="GenderId" secret-key="***"/> <server name="emotion-1" language="en-US" sampling-rate="8000" uri="wss://services.govivace.com:7687" method="EmotionId" secret-key="***"/> <server name="language-1" language="en-US" sampling-rate="8000" uri="wss://services.govivace.com:7686" method="LanguageId" secret-key="***"/> <server name="keyword-1" language="en-US" sampling-rate="8000" uri="wss://services.govivace.com:49149" method="telephony" secret-key="***"/> <server name="grxml-1" language="en-US" sampling-rate="8000" uri="ws://198.199.70.106:49162" method="answer" secret-key="***"/> <server name="grxml-2" language="en-US" sampling-rate="8000" uri="ws://198.199.70.106:49162" method="location" secret-key="***"/> <server name="grxml-3" language="en-US" sampling-rate="8000" uri="ws://198.199.70.106:49162" method="duration" secret-key="***"/>
|
Installation of the GoVivace server is not covered in this document.
Refer to the Usage Guide for more information.
Validate your setup by using the sample UniMRCP client and server applications on the same host. The default configuration and data files should be sufficient for a basic test.
Note: an instance of the GoVivace GStreamer server needs to be running prior starting the UniMRCP server.
Launch the UniMRCP server application.
cd /opt/unimrcp/bin sudo ./unimrcpserver |
In the server log output, check whether the plugin is normally loaded.
[INFO] Load Plugin [GoVivace-SR-1] [/opt/unimrcp/plugin/umsgovivacesr.so] |
Next, check for the license information.
[NOTICE] UniMRCP GoVivaceSR License
-product name: umsgovivacesr -product version: 1.0.0 -license owner: - -license type: trial -issue date: 2019-05-31 -exp date: 2019-06-30 -channel count: 2 -feature set: 0 |
Note: the optional package umc-addons must be installed for this test to work.
Launch the sample UniMRCP client application umc.
cd /opt/unimrcp/bin ./umc |
Run a typical scenario for gender identification by issuing the command run gv1 from the console of the umc client application.
run gv1 |
This command sends a RECOGNIZE request to the server and then starts streaming a sample audio input file to recognize.
Check for the NLSML results to be returned as expected.
<?xml version="1.0"?> <result> <interpretation grammar="builtin:speech/GenderId" confidence="0.95"> <instance> <status>0</status> <message>Gender identification is successful</message> <gender>male</gender> <string-confidence>0.952294</string-confidence> <processing-time>1.052527</processing-time> <input-speech-duration>0.810000</input-speech-duration> </instance> <input mode="speech"></input> </interpretation> </result> |
Run a typical scenario for emotion identification by issuing the command run gv2 from the console of the umc client application.
run gv2 |
This command sends a RECOGNIZE request to the server and then starts streaming a sample audio input file to recognize.
Check for the NLSML results to be returned as expected.
<?xml version="1.0"?> <result> <interpretation grammar="builtin:speech/EmotionId" confidence="1.00"> <instance> <status>0</status> <message>Emotion identification is successful</message> <emotion>angry</emotion> <emotion-score>0.999981</emotion-score> <processing-time>0.344103</processing-time> </instance> <input mode="speech"></input> </interpretation> </result> |
Run a typical scenario for language and accent identification by issuing the command run gv3 from the console of the umc client application.
run gv3 |
This command sends a RECOGNIZE request to the server and then starts streaming a sample audio input file to recognize.
Check for the NLSML results to be returned as expected.
<?xml version="1.0"?> <result> <interpretation grammar="builtin:speech/LanguageId" confidence="0.81"> <instance> <status>0</status> <message>Language and Accent identification is successful</message> <language>english</language> <score>0.805773</score> <processing-time>0.861588</processing-time> <enrollment-audio-time>0.000000</enrollment-audio-time> </instance> <input mode="speech"></input> </interpretation> </result> |
Run a typical scenario for keyword spotting by issuing the command run gv4 from the console of the umc client application.
run gv4 |
This command sends a RECOGNIZE request to the server and then starts streaming a sample audio input file to recognize.
Check for the NLSML results to be returned as expected.
<?xml version="1.0"?> <result> <interpretation grammar="builtin:speech/telephony" confidence="1.00"> <instance>call study</instance> <input mode="speech">call study</input> </interpretation> </result> |
Visually inspect the log output for any possible warnings or errors.
Note that utterances are stored in the var directory, if the corresponding parameter is enabled in the configuration file umsgovivacesr.xml and/or requested by the client.