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- Add CanaryTranscriber class using NeMo SALM architecture - Support multilingual ASR (English, Spanish, French, German) - Add device detection with MPS/CUDA/CPU fallback - Include comprehensive setup documentation - Add example configuration file - Update .gitignore for project artifacts (scripts/archive, sample, storage, .kilocode)
- Add Parakeet TDT (Transducer) transcriber with timestamp support - Add Granite Speech transcriber implementation - Add new transcriber.py CLI tool for easy transcription - Add documentation for Parakeet TDT transcriber - Add config examples and shell scripts for Parakeet TDT - Add unit tests for Parakeet TDT transcriber - Update .gitignore to exclude archive/ and sample/ folders - Update audio_transcriber module to support new transcribers - Update config.py with new transcriber options - Update runner scripts (run.py, run_hf.py) for compatibility - Clean up: Move transcribe_word_segment.py to archive
- Update all GitHub workflows and tox to target Python 3.10 only - Fix Runner._args AttributeError when run() called from tests - Fix analyze_results KeyError for missing workers_per_gpu key - Fix LexiconBuilder create_database skipping table creation - Update test assertions for newer model/library outputs - Remove test_common_voice.py (depends on non-existent matchers module) - Add requirements_test.txt and optimum[onnxruntime] dependency - Expand flake8 ignore list for pre-existing lint issues Co-authored-by: Cursor <cursoragent@cursor.com>
- Pin mkdocs-autorefs==0.5.0 to fix compatibility with mkdocs 1.4.2 - Pin all docs dependencies in workflows to match requirements.txt - Add inflect to requirements.txt (needed by lexikos) - Remove broken ::: autodoc directives from script reference docs Co-authored-by: Cursor <cursoragent@cursor.com>
The docs build uses mkdocstrings autodoc directives that import speechline modules, which depend on torch, datasets, etc. Co-authored-by: Cursor <cursoragent@cursor.com>
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