onnx-asr v0.11.0

Highlights

• Improved preprocessor performance: added a NumPy version for CPU (up to 10x speedup) and updated ONNX versions with DirectML/WebGPU support.
• Updated Silero VAD to current version and added PyAnnote VAD implementation.
• Updated benchmarks, comparisons and installation guide in docs.
• Removed PyTorch from build time dependencies.
• Added Canary 1B Flash model.

What's Changed

• Refactoring and updating model loader by @istupakov in #71, #72, #74
• Updated preprocessors, added NumPy preprocessors by @istupakov in #81, #92
• Updated deps and CI by @istupakov in #70, #76, #77, #89, #90, #97, #100, #103
• Add WeSpeaker embeddings model by @istupakov in #86
• Move content from Readme to Docs by @istupakov in #91
• Update benchmarks and comparison with original models by @istupakov in #85, #98, #105
• Update Silero VAD to v6.2 by @istupakov in #107
• Add PyAnnote VAD implementation by @FTWsGit in #96
• Fix missed logprobs in VAD recognize_batch by @istupakov in #102
• Fix Nemo Canary model decoding by @istupakov in #106
• Other small fixes by @istupakov in #83, #87, #94, #108

New Contributors

• @FTWsGit made their first contribution in #96

Full Changelog: v0.10.2...v0.11.0