This release includes internal security fixes which affects the Real-time Container. Customers should upgrade to this version wherever possible.
It is now necessary to use processors that support Advanced Vector Extensions 2 (AVX2) when running the container in order to take advantage of latest performance optimisations.
It is also recommended when using the enhanced model to use hardware that supports the AVX512_VNNI flag for optimal processing performance. For more information please see the quick start guide.
The following are known issues in this release:
|Issue ID||Summary||Detailed Description and Possible Workarounds|
|REQ-10634||Putting "-" as an item in ||Do not enter just a "-" on its own in Custom Dictionary either as an additional vocab item or in the |
|REQ-13240||Chinese (cmn) container crashes occasionally when using certain additional vocabulary||Do not use whitespace characters in additional vocabulary |
|REQ-16256||Audio Swapping between 8kHz and 16kHz causes memory leak||Repeatedly audio swapping between 8kHz and 16kHz files can cause an increase in memory over very long periods that causes the container to crash. If memory usage in this scenario becomes excessive it is recommended to restart the container|
|REQ-17771||Wide-space Unicode characters in Custom Dictionary cause a jobs to fail||This is now fixed and wide-spaced characters should be accepted|
|REQ-20261||The Japanese language pack may output fewer punctuation marks in certain scenarios||In some cases, users may see a decreased output in punctuation marks when transcribing in Japanese. Adjusting punctuation sensitivity sessions may improve output|
The following is a list of any resolved issues within this release:
|Issue ID||Summary||Resolution Description|
|REQ-20470||Silences included in total speech duration for Real-time transcription||Includes only spoken audio duration for Real-time transcription when sending data to the Usage Container|
These are the General Availability (GA) release notes for the Real-time ASR container images. Following languages are supported:
Container images are labelled using the following scheme, where language codes adhere the ISO-639 standard:
Pull the container image from the Speechmatics Docker registry.