Release Notes¶

onnx-asr v0.10.2 ¶

Released on 2026-01-18

What's Changed

Update build, CI, tests and dependencies by @istupakov in #66, #67, #69
Add Docs via Material for MkDocs and GitHub Pages, update docstrings, Readme and CI by @istupakov in #68

Full Changelog: v0.10.1...v0.10.2

onnx-asr v0.10.1 ¶

Released on 2025-12-30

What's Changed

Add workaround for TensorRT fp16 models by @istupakov in #61
Improve typing, CLI and readme by @istupakov in #62
Add Coveralls to CI by @istupakov in #63

Full Changelog: v0.10.0...v0.10.1

onnx-asr v0.10.0 ¶

Released on 2025-12-26

Highlights

Improved TensorRT support: 10x speedup on GigaAM v2/v3 CTC and 3x speedup on Parakeet TDT v2/v3!
Optimized the default ONNX configuration to automatically exclude unsupported providers.
Installation from source has been simplified - you can now just use pip / uv.
You can specify the folder where to download the model.
The cpu_preprocessing option is deprecated and ignored, use preprocessor_config and resampler_config instead.

What's Changed

Fixed concurrent preprocessor on numpy 1.26 by @istupakov in #49
Improved models downloading by @istupakov in #51, #52
Update CI and tests, move from PDM to uv+hatchling by @istupakov in #30, #58
Add TensorRT support and benchmarks by @istupakov in #55
Added logprobs to recognize results by @istupakov in #54
Optimize config selection by @istupakov in #59
Update documentaion by @istupakov in #57

Full Changelog: v0.9.1...v0.10.0

onnx-asr v0.9.1 ¶

Released on 2025-12-08

What's Changed

Added separate ONNX options for preprocessor and resampler (preprocessor_config and resampler_config) by @istupakov in #48
Added concurrent processing in preprocessor (set max_concurrent_workers in preprocessor_config) by @istupakov in #47, #48
Fixed VAD for 8 kHz models (t-tech/t-one) by @istupakov in #46
CTC decoding optimization by @istupakov in #47

Full Changelog: v0.9.0...v0.9.1

onnx-asr v0.9.0 ¶

Released on 2025-12-04

Highlights

New supported model nemo-canary-1b-v2 for Nvidia Canary 1B v2 - one of the best multilingual models according to open_asr_leaderboard so far!
New supported model t-tech/t-one for T-Tech T-one - Russian model, specialized for the telephony domain.

What's Changed

Add Nemo Canary models support by @istupakov in #42
Add T-one model by @istupakov in #44
Improve resampling by @istupakov in #43
Update dependencies, linter and readme by @istupakov in #41, #45

Full Changelog: v0.8.0...v0.9.0

onnx-asr v0.8.0 ¶

Released on 2025-11-27

Highlights

Added support for new GigaAM v3 models, including E2E versions with punctuation and text normalization!

What's Changed

Add GigaAM v3 models by @istupakov in #34
Update GigaAM and Nemo preprocessors by @istupakov in #36
Update benchmarks by @istupakov in #38
Add GigaAM v3 E2E models by @istupakov in #39

Full Changelog: v0.7.0...v0.8.0

onnx-asr v0.7.0 ¶

Released on 2025-08-16

Highlights

New supported model nemo-parakeet-tdt-0.6b-v3 for Nvidia Parakeet TDT 0.6B V3 - new multilingual Parakeet model from Nvidia!
Performance optimization for GigaAM v2 RNN-T and WhisperHf models.
Added performance benchmarks in Readme (on Arm, Intel, and Nvidia T4).

What's Changed

Update deps and onnxscript by @istupakov in #15, #19, #20
Fix Tdt decoding by @istupakov in #14
Performance optimization by @istupakov in #17
Update benchmarks by @istupakov in #16
Add parakeet-tdt-0.6b-v3 model by @istupakov in #25

Full Changelog: v0.6.1...v0.7.0

onnx-asr v0.6.1 ¶

Released on 2025-05-24

What's Changed

New supported sample rates (24 and 32 kHz)
Set cpu_preprocessing to true by default
Preprocessors optimization by @istupakov in #10
Update Readme by @istupakov in #12

Full Changelog: v0.6.0...v0.6.1

onnx-asr v0.6.0 ¶

Released on 2025-05-10

Highlights

New supported model nemo-parakeet-tdt-0.6b-v2 for Nvidia Parakeet TDT 0.6B V2 (en) - the best English model according to open_asr_leaderboard at the moment
load_model now supports loading from any Hugging Face repository with a compatible config.json
All models now have a quantized version (quantization="uint8" for onnx-community models and quantization="int8" for others)

What's Changed

Improved typing, updated CLI by @istupakov in #5
Optimized preprocessors on GPU and added cpu_preprocessing option to load_model by @istupakov in #6
Added support for Nemo TDT models by @istupakov in #4
Added config.json support by @istupakov in #8
Improved tests and typings by @istupakov in #9
[Breaking Changes] Renamed model type whisper-hf to whisper (for compatibility with config.json from onnx-community)