2025, Vol. 6, Issue 2, Part B

The research team behind this project set out to answer several questions about autonomous surface vehicle (ASV) system design and execution. Given the advantages they provide over other biometric techniques, the development and enhancement of ASV applications is crucial. support vector machines Hidden Markov models, artificial neural networks generalized method of moments (GMMs), and combination models are the backbone of modern speaker identification systems. The efficiency of prompted text speaker verification is examined in this research using a dataset from France. In this work, a continuous speech system based on HMM has been constructed at a context-free, single mixed monophony level. The next step is to construct the client and world models using appropriate speech data. The text-dependent speaker verification method use newly-joined HMM sentences as the key text for speaker verification. During the verification stage, the normalized log-likelihood is calculated as the difference between the log-likelihoods of the client model (as enforced by the Viterbi algorithm) and the world model. The results of the verification may now be calculated thanks to a recently disclosed approach.