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This article presents a novel method for enhancing speech intelligibility in noisy environments using wavelet transform and the Articulation Index (AI) as an objective metric. The proposed approach outperforms traditional subjective methods by applying wavelet packet transform to noisy speech signals, thereby improving clarity and intelligibility across various noise conditions. Experimental results demonstrate significant improvements in AI values, indicating the method
- Author
- Mahesh Patil
- Language
- EN