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Real-time Container
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Release Notes
This is the documentation for a previous version of our product. Click here to see the latest version.

Real-time Container

High Level Summary

This release includes internal security fixes which affects the Real-time Container. Customers should upgrade to this version wherever possible.

Important Notices

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.

What's New

1.4.1

  • Bug fixes to report the correct usage data required for processing in Usage Container
  • Internal security fixes

1.4.0

  • New improved language packs for all 31 languages. By default a language pack will contain a standard and enhanced model for all 31 languages. The standard model is available to use, with no user change required. For using the enhanced model refer to the API guide for details
  • General improvements in pop culture terms recognition for the English language pack
  • Removal of foreign characters from English and German language packs
  • Profanity tagging in Italian and Spanish
  • Chinese Mandarin language pack now supports Traditional as well as Simplified Mandarin. Please see API guide for guidelines of how to do so

Known Limitations

The following are known issues in this release:

Issue IDSummaryDetailed Description and Possible Workarounds
REQ-10634Putting "-" as an item in additional vocab configuration will cause the container to failDo not enter just a "-" on its own in Custom Dictionary either as an additional vocab item or in the sounds_like property. Hyphens are still supported when entered as part of phrases or words
REQ-13240Chinese (cmn) container crashes occasionally when using certain additional vocabularyDo not use whitespace characters in additional vocabulary sounds_like
REQ-16256Audio Swapping between 8kHz and 16kHz causes memory leakRepeatedly 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-17771Wide-space Unicode characters in Custom Dictionary cause a jobs to failThis is now fixed and wide-spaced characters should be accepted
REQ-20261The Japanese language pack may output fewer punctuation marks in certain scenariosIn some cases, users may see a decreased output in punctuation marks when transcribing in Japanese. Adjusting punctuation sensitivity sessions may improve output

Resolved Issues

The following is a list of any resolved issues within this release:

Issue IDSummaryResolution Description
REQ-20470Silences included in total speech duration for Real-time transcriptionIncludes only spoken audio duration for Real-time transcription when sending data to the Usage Container

Supported Languages

These are the General Availability (GA) release notes for the Real-time ASR container images. Following languages are supported:

  • English (en)
  • German (de)
  • Spanish (es)
  • French (fr)
  • Portuguese (pt)
  • Japanese (ja)
  • Korean (ko)
  • Dutch (nl)
  • Italian (it)
  • Swedish (sv)
  • Danish (da)
  • Polish (pl)
  • Catalan (ca)
  • Hindi (hi)
  • Russian (ru)
  • Mandarin (cmn)
  • Norwegian (no)
  • Arabic (ar)
  • Bulgarian (bg)
  • Czech (cs)
  • Greek (el)
  • Finnish (fi)
  • Hungarian (hu)
  • Croatian (hr)
  • Lithuanian (lt)
  • Latvian (lv)
  • Romanian (ro)
  • Slovak (sk)
  • Slovenian (sl)
  • Turkish (tr)
  • Malay (ms)

Container images are labelled using the following scheme, where language codes adhere the ISO-639 standard:

rt-asr-transcriber-<language>:<version>

For example,

rt-asr-transcriber-en:1.4.1

Supported Platforms

Docker 17.06.0+

Installation

Pull the container image from the Speechmatics Docker registry.

Prerequisites

  • Docker (17.06.0 or above).
  • Login credentials (URL, username and password) for the Speechmatics Docker registry.