Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

The aim of this research is to identify gender and age from speech, the system consists of
two parts. The first part is called pre-processing and future extraction. The second part is …

In this work, an automatic gender and age recognizer from speech is investigated. The
relevant features to gender recognition are selected from the first four formant frequencies …

Speaker verification is the process of verifying an individual's identity by comparing their
recorded voice samples with their test speech signals. Speaker verification has various …

Tôi xin cam đoan luận án:“Nâng cao độ chính xác xác thực người nói sử dụng học sâu với
tài nguyên hạn chế” là công trình nghiên cứu của chính mình dưới sự hướng dẫn khoa học …

Speaker Verification is the process of determining whether the speaker is who he/she claims
to be. This paper proposes a speaker verification system which considers phonemes as the …

Any person can be identified from his/her physiological characteristics (fingerprint, hand
geometry etc), since they cannot be shared or directed toward the wrong person. In this work …