Version 2026.03.0
· 6 min read
General changes
- Versioning scheme changes from semantic (e.g.,
5.0.0) to calendar in the formatYYYY.MM.minor, e.g.,2026.03.0corresponds to the first version in March 2026
Features
- Changes in
configuration
(
speech-platform-values.yaml):- BREAKING CHANGE: The Speech to Text technology is now configured in
the
speech-to-textsubchart, and the configuration has the same form as other microservices. Previously, it was configured in thespeech-to-text-phonexiasubchart and it used agrpcAdapterconfiguration for Speech to Text based on Phonexia Speech Engine - Technologies can configure
instancesPerDeviceto control how many tasks can be processed by a technology on a single CPU/GPU in parallel - Technologies can configure
threadsPerInstanceto control how many CPU threads will be used for each request - All on-demand technologies can set a
cooldownPeriodto manage how long instances stay idle before they are scaled down
- BREAKING CHANGE: The Speech to Text technology is now configured in
the
- Virtual Appliance scripts no longer require
rootprivileges and can be run under the defaultphonexiauser- The scripts have been moved to
/home/phonexia/scripts/
- The scripts have been moved to
- The maximum number of microservice instances running at the same time has increased to 300
- The NVIDIA driver has been upgraded to
570-open, which enables using newer GPUs - After the Virtual Appliance starts, a warning message is now displayed on the console if the virtual machine has insufficient RAM or CPU
Fixes
- Large integers in configuration are now handled correctly
- Values like file size limits and storage capacities were sometimes converted to scientific notation, causing deployment issues
- The misleading "GPU only" description for
instancesPerDeviceinspeech-platform-values.yamlis removed
Technology changes
Features
- Deepfake Detection uses an updated detection algorithm that produces more accurate results
- Pronunciation source in Keyword Spotting can be
PARTLY_GENERATED(previouslyUSER) if a multi-word keyword contains some generated and some built-in pronunciations - Phonexia Speech to Text uses a new internal implementation (previously,
Phonexia Speech Engine was used). The API remains the same; only some error
details have changed
- As a result, users of the technology need to obtain models with an updated license when updating the virtual appliance to this version
- Enhanced Speech to Text Built on Whisper, Keyword Spotting, Replay Attack Detection, and Voice Activity Detection use less memory to process audio
- Many technologies that process audio use a new resampler library
- As a consequence, these technologies can produce negligibly different results than the previous version
Fixes
- Many technologies that process audio include a fix for a rare issue where audio resampling could fail when processing large files, particularly when converting between certain sample rates (e.g., 11025 Hz to 8000 Hz)
- Many technologies that process audio include a fix for a GPU processing failure on NVIDIA Blackwell GPUs (e.g., RTX 1000 series) caused by a bug in ONNX Runtime
- Enhanced Speech to Text Built on Whisper
- Fixes an issue where some segments did not contain word segmentation even if the feature was enabled
- Translation now doesn't throw an
unsupported languageerror when the language is supported for Translation but not for Transcription
REST API changes
Features
- BREAKING CHANGE: In the result of
Keyword Spotting,
the pronunciation source in a detected keyword can now be
PARTLY_GENERATED(previouslyUSER) if a multi-word keyword contains some generated and some built-in pronunciations - The new Voiceprint Conversion endpoint can be used for converting standard voiceprints to vector voiceprints
- The new Voiceprint Merging endpoint can be used for merging multiple voiceprints into one
- The
Voiceprint Extraction
endpoint now supports the
include_vector_voiceprintquery parameter for including vector voiceprints in the result - Enhanced Speech to Text Built on Whisper and Phonexia Speech to Text now accept time range query parameters
- The Speech to Text endpoint now uses the new Phonexia Speech to Text implementation internally (see above)
- The documentation now mentions that
unknown keys
in configuration passed in
multipart/form-dataare ignored
Fixes
- The healthcheck endpoint now recovers from an error caused by invalid technology licenses
- Fixed a number of occasions where temporary files were not removed from storage
GUI (web application) changes
Features
Settings menu
- A new Licenses section shows a detailed listing of available licenses for
technologies
- Users can upload new license files and model archives (licensed-models.zip)
- In the Microservices tab of the System configuration section, users can configure a cooldown period for on-demand microservice instances (see General Changes above)
Technologies
- Users can use the Send to... feature to send files (individually or in bulk) for processing by other technologies
- All technologies use a unified file addition dialog
- Users can select files already uploaded for other technologies
- Files are sorted by upload date from the most recent to the oldest
- Sorting can be changed with the Added Date column (hidden by default)
- Gender Identification, Audio Quality Estimation, and Language Identification show top scores for individual channels in the quick results
- Deepfake Detection now uses a new production-ready model
- As a consequence, cached Deepfake Detection results are removed
Fixes
Technologies
- Keyword Spotting now correctly shows phoneme keyboard for Arabic
- Keyword Spotting shows error messages when entering invalid characters in spelling and pronunciation
Included Components
- Age Estimation 2.1.0
- Audio Manipulation Detection 2.1.0
- Audio Quality Estimation 2.1.0
- Deepfake Detection 4.1.0
- Referential Deepfake Detection 2.1.0
- Denoiser 2.1.0
- Emotion Recognition 2.1.0
- Enhanced Speech to Text Built on Whisper 2.2.0
- Gender Identification 2.1.0
- Keyword Spotting 2.2.0
- Language Identification 2.1.0
- Replay Attack Detection 2.2.0
- Speaker Diarization 2.1.0
- Speech to Text 2.2.0
- Text Translation 2.1.0
- Time Analysis 2.1.0
- Transcription Normalization 2.1.0
- Voice Activity Detection 2.2.0
- Voiceprint Comparison 2.1.0
- Voiceprint Extraction 2.1.0