Downloads
Repository
Documentation
Issues
Project Media
Google Cloud
Microsoft Azure
Amazon
Nuance Mix
OpenAI
SoundHound
IBM Watson
NVIDIA
Verbio
Deepgram
Yandex Cloud
Speechmatics
ASAPP
GoVivace
Voci
Kaldi
Platforms
Google Speech Recognition (GSR) Plugin 1.22.0 to the UniMRCP Server (UMS) has been released.
The plugin is based on the following components:
- UniMRCP Server 1.7.0
- Google APIs 1.5.0
- gRPC 1.30.3
- Protobuf 3.12.2
The plugin supports the following Google Speech-to-Text API versions:
- v1
- v1p1beta1
The binaries are currently available for the following Linux distributions:
- Red Hat / CentOS 7 (unimrcp-gsr-1.7.8-1.el7.x86_64.rpm)
- Red Hat / CentOS 8 (unimrcp-gsr-1.7.8-1.el8.x86_64.rpm)
- Ubuntu 18.04 LTS (unimrcp-gsr_1.7.8-bionic_amd64.deb)
- Ubuntu 20.04 LTS (unimrcp-gsr_1.7.8-focal_amd64.deb)
This release adds support for triggering a webhook upon completion of speech transcription. The new feature allows for integration with 3-rd party natural language processing, sentiment analysis and other speech-related APIs.
The release also provides a few fixes and improvements in the existing functionality.
The detailed list of changes introduced in this release follows.
New Features
- Added support for triggering a webhook upon completion of the speech transcription. The content received back as a result of the webhook invocation is set in the instance element of the NLSML result in the RECOGNITION-COMPLETE event.
- Output license and maintenance expiration dates to status files, if/when applicable.
Fixed Problems
- If a DTMF digit is detected after the end-of-utterance event is received with no prior transcription results but before the gRPC call is complete, then such an occurrence could cause license depletion.
- Fixed a possible segfault on processing of the header field Logging-Tag having an empty [no] value.
Configuration Parameters
- Added a new element 'webhook' to the document 'umsgsr'.
Miscellaneous
- Updated the Usage Guide to reflect the changes introduced in this release.
Visit the GSR plugin page for more information.
Thank you for using UniMRCP.
--
Arsen Chaloyan
Author of UniMRCP
http://www.unimrcp.org
