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Azure SR Plugin 1.12.0 Released

Microsoft Azure Speech Recognition (SR) Plugin 1.12.0 to the UniMRCP Server (UMS) has been released.

The plugin is based on the following components:

  • UniMRCP Server 1.6.0
  • Microsoft Speech WebSocket Protocol
  • Libevent 2.1.9
  • Rapidjson 1.1.0

The plugin supports the following endpoints:

  • Speech Service
  • Bing Speech

The binaries are currently available for the following Linux distributions:

  • Red Hat / CentOS 7 (unimrcp-azure-sr-1.6.6-1.el7.x86_64.rpm)
  • Ubuntu 16.04 LTS (unimrcp-azure-sr_1.6.6-xenial_amd64.deb)
  • Ubuntu 18.04 LTS (unimrcp-azure-sr_1.6.6-bionic_amd64.deb)

This release addresses a few production issues and introduces supplementary features and enhancements to the existing functionality.

The detailed list of changes introduced in this release follows.
New Features
  • Added support for inter-result timeout. If the specified timeout is elapsed, input is considered complete. The timeout defaults to 0 (disabled) and can be overridden per recognition request.
  • If the configuration parameter 'use-logging-tag' is set to 'true', the header field Logging-Tag, if specified, is used as a suffix while composing file names of utterances and RDRs.
Fixed Problems
  • Fixed a race condition in asynchronous processing of initiation of a new turn and termination of the current turn, occurred when audio data for the new turn becomes available earlier than 'turn.end' event is received for the turn being terminated.
  • Fixed a race condition, occurred when speech completes earlier than a WebSocket connection to the service is fully established.
Configuration Parameters
  • Added a new attribute 'inter-result-timeout' to the element 'ws-streaming-recognition'.
  • Added a new attribute 'use-logging-tag' to the elements 'utterance-manager' and 'rdr-manager'.
  • Changed the log level of statement "Unknown Parameter" from WARNING to DEBUG.
  • Updated the Usage Guide to reflect the changes introduced in this release.

Visit the Azure SR plugin page for more information.


Thank you for using UniMRCP.

Arsen Chaloyan
Author of UniMRCP

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