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Enhance Vietnamese feedback generation with actionable insights and specific improvement strategies. Refine overall feedback based on score ranges, provide detailed guidance for problematic words and phonemes, and suggest clear next steps for users to improve their pronunciation skills.
b9c5d04
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Implement enhanced pronunciation assessment system with Wav2Vec2 support
- Added Wav2Vec2CharacterASR class for character-level ASR using Wav2Vec2 model. - Integrated SimpleG2P for grapheme-to-phoneme conversion. - Developed WordAnalyzer for analyzing word-level pronunciation accuracy. - Created PhonemeComparator to compare reference and learner phoneme sequences. - Introduced SimpleFeedbackGenerator for generating actionable feedback in Vietnamese. - Implemented SimplePronunciationAssessor as the main interface for pronunciation assessment. - Added test scripts for backward compatibility and enhanced features. - Verified enhanced features and method availability in the new system.aa2c910
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feat: implement Wav2Vec2 character-level ASR with ONNX and Transformers support, add phoneme comparison and feedback generation
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Add Wav2Vec2 model conversion and inference to ONNX format
- Implemented Wav2Vec2ONNXConverter class for converting Wav2Vec2 models to ONNX format, including model loading, conversion, and verification. - Added Wav2Vec2ONNXInference class for performing inference using the converted ONNX model. - Included methods for softmax calculation and transcription of audio files. - Added utility functions for creating compatible models and exporting with fallback options for different ONNX opset versions. - Introduced optimization function for ONNX models. - Created helper function to convert numpy types to native Python types for better compatibility.df380ff
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remove conversation management
4909ef6
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first commit
7197de5 -
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