Goodness-of-pronunciation without phoneme time alignment
📰 ArXiv cs.AI
Researchers propose a method for evaluating speech pronunciation without phoneme time alignment, useful for low-resource languages
Action Steps
- Utilize open-source weakly-supervised models for ASR
- Extract features from frame-asynchronous models
- Develop a goodness-of-pronunciation metric without relying on phoneme time alignment
- Evaluate the proposed method on low-resource languages
Who Needs to Know This
Speech recognition engineers and researchers working on low-resource languages can benefit from this method to improve speech evaluation accuracy
Key Insight
💡 The proposed method enables speech evaluation for low-resource languages without requiring large amounts of labeled data
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🗣️ Evaluate speech pronunciation without phoneme time alignment! 🚀
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