TY - GEN
T1 - A Hybrid Mel-Frequency Cepstrum Coefficients and Gated Recurrent Units Approach for Voiceprint Recognition
AU - Teng, Jackson Horlick
AU - Ong, Thian Song
AU - Lim, Kian Ming
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2025/3/3
Y1 - 2025/3/3
N2 - A voiceprint system recognizes an individual using their voice biometrics for person recognition purpose. Voiceprint offers notable advantages in convenience and cost since it only requires a microphone, a ubiquitous component in smartphones, making it highly practical for user identity management such as personalized customer support by recognizing the user using just their voice. This paper proposes a voiceprint recognition system to combine Mel-Frequency Cepstrum Coefficients (MFCC) and Gated Recurrent Units (GRU), which is termed MFCC-GRU method. The resulting mixture is extremely useful in voiceprint recognition, as it could accurately capture and evaluate the unique characteristics and temporal dynamics of an individual’s voice for identity verification. The proposed method is tested on three voiceprint datasets and achieving the highest accuracy of 98.17% at best.
AB - A voiceprint system recognizes an individual using their voice biometrics for person recognition purpose. Voiceprint offers notable advantages in convenience and cost since it only requires a microphone, a ubiquitous component in smartphones, making it highly practical for user identity management such as personalized customer support by recognizing the user using just their voice. This paper proposes a voiceprint recognition system to combine Mel-Frequency Cepstrum Coefficients (MFCC) and Gated Recurrent Units (GRU), which is termed MFCC-GRU method. The resulting mixture is extremely useful in voiceprint recognition, as it could accurately capture and evaluate the unique characteristics and temporal dynamics of an individual’s voice for identity verification. The proposed method is tested on three voiceprint datasets and achieving the highest accuracy of 98.17% at best.
KW - Gated Recurrent Unit
KW - Mel-Frequency Cepstrum Coefficients
KW - Voiceprint
UR - http://www.scopus.com/inward/record.url?scp=105000373516&partnerID=8YFLogxK
U2 - 10.1145/3704137.3704177
DO - 10.1145/3704137.3704177
M3 - Conference contribution
AN - SCOPUS:105000373516
T3 - ICAAI 2024 - Conference Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence
SP - 134
EP - 140
BT - ICAAI 2024 - Conference Proceedings of the 2024 8th International Conference on Advances in Artificial Intelligence
PB - Association for Computing Machinery, Inc
T2 - 8th International Conference on Advances in Artificial Intelligence, ICAAI 2024
Y2 - 17 October 2024 through 19 October 2024
ER -