Set trim silences to false for demo reference

Update src/pronunciation_checker.py

Update parse_tsv method

Add demo code

Update src/audio_preprocessing.py

Add demo data

Remove test cases debugging

Update src/audio_preprocessing.py

Debug test cases

Add Grapheme attribution

Update src/audio_preprocessing.py

Update src/audio_preprocessing.py

Update src/audio_preprocessing.py

Remove duplicate code

Add fix for second-to-last frame

Update requirements.txt

Update src/audio_preprocessing.py

Update src/pronunciation_checker.py

Update src/audio_preprocessing.py

Pass wav_type="ref" to assess_pronunciation_quality

Add wav_type argument to assess_pronunciation_quality

Pass threshold to assess_pronunciation_quality

Add threshold argument to assess_pronunciation_quality

feat/red-green-decision (#7)

Update app.py

Update app.py (#5)

Update src/audio_preprocessing.py (#4)

Update requirements.txt (#3)

Update src/pronunciation_checker.py

Update app.py

Update src/pronunciation_checker.py

Update app.py

Add benchmark

Update red vs green logic in quality score computation

Update red vs green logic in PronunciationChecker

Update app.py to use Silero VAD to trim silences

Add Silero VAD to PronunciationChecker

Add download button to Audio inputs

Load PronunciationChecker only once at startup

Update app.py (#2)

Update src/audio_preprocessing.py (#1)

Update app.py

Update app.py

Update requirements.txt

Move code into src dir

Update README.md

Update README.md

Added code + requirements

initial commit