Performance Analysis of Hindi Voice for Speaker Recognition and Verification Using Different Feature Extraction

摘要

Hindi is the most common language in India and being spoken by about 80% and understanding rate is about 93% by Indians. Different region has many common languages and they pronounce according to their culture environment. Pronunciations may be different but the meaning of the word being spoken is same. So, we try through this paper with the help of different Hindi voice database taken from different part of India and focus to analyze the performance of voice using different feature extraction techniques. This will to identify the proper feature extraction method according to their voices and analyze the performance of these feature extraction techniques. The efficiency of these feature extraction techniques will also help to analyze recognize and verification of the speaker performance.