Add speech2text model for offline#614
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dellano54 wants to merge 765 commits intooffline-recognitionfrom
Open
Add speech2text model for offline#614dellano54 wants to merge 765 commits intooffline-recognitionfrom
dellano54 wants to merge 765 commits intooffline-recognitionfrom
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* opts not used * operation_timeout = None (Recognize.__init__())
Add tests (google-cloud-speech)
…iling-space bugfix(google-cloud-speech): Remove trailing space
feat(google-cloud-speech): Delegate to google-auth
* Update links
Refine google_cloud recognizer's parameters
fix: remove tests from wheel
chore: Fix package data config for models
docs: Add Code Wiki badge
pinact run -u
chore: Secure GitHub Actions specifier
docs: About AI-generated contributions
docs: Extract CONTRIBUTING
ci: Try actions/stale only for needinfo issues
Implement speech_recognition.recognizers.cohere using cohere.ClientV2 and audio.transcriptions.create, with optional extra cohere-api (PyPI cohere>=5.21.0). Wire Recognizer.recognize_cohere, extend CI extras for resolver checks with openai/groq, add tests and document CO_API_KEY in README and library reference. Refs: #888 Made-with: Cursor
ci: remove no-build-isolation from unittest workflow
Align cohere_api with other recognizer modules (recognize + Recognizer.recognize_* wiring). Public API remains recognize_cohere_api. Made-with: Cursor
feat: Add Cohere Transcribe API support (recognize_cohere_api)
# Conflicts: # .github/workflows/unittests.yml
ci: remove Python 3.13 preinstall workaround from unittest workflow
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Try using speech2text than pocketsphinx because its more efficient, faster, accurate and pre-trained in large dataset