Evaluating the Performance of Speaker Recognition Solutions in E-Commerce Applications. [PDF]
Krčadinac O +2 more
europepmc +1 more source
CNNMC: a convolutional neural network with Monte Carlo dropout for speaker recognition
Speaker recognition is the task of identifying or verifying a person’s identity using their voice. This problem involves challenges like variations in speech due to emotional states, health conditions, heterogeneity of microphone models, different ...
Massimo Orazio Spata +3 more
doaj +1 more source
Automatic Speaker Recognition System Based on Gaussian Mixture Models, Cepstral Analysis, and Genetic Selection of Distinctive Features. [PDF]
Kamiński KA, Dobrowolski AP.
europepmc +1 more source
Analysis and Calibration of Lombard Effect and Whisper for Speaker Recognition. [PDF]
Kelly F, Hansen JHL.
europepmc +1 more source
The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identification. [PDF]
Plante-Hébert J, Boucher VJ, Jemel B.
europepmc +1 more source
Influence of specific voip transmission conditions on speaker recognition problem
The paper presents the problem of signal degradation in packet-based voice transmission and its influence on the voice recognition correctness. The Internet is evolving into universal communication network which carries all types of traffic including ...
Piotr Staroniewicz
doaj
Continuous speech speaker recognition based on CNN
In the last few years, with the constant improvement of the social life level, the requirement for speech recognition is getting higher and higher. GMM-HMM (Gaussian mixture-hidden Markov model) have been the main method for speaker recognition.
Zhendong WU, Shucheng PAN, Jianwu ZHANG
doaj +2 more sources
Speech is produced by a nonlinear, dynamical Vocal Tract (VT) system, and is transmitted through multiple (air, bone and skin conduction) modes, as captured by the air, bone and throat microphones respectively.
K. Khadar Nawas +6 more
doaj +1 more source
Development of High Accuracy Classifier for the Speaker Recognition System.
Al-Hassani RT, Atilla DC, Aydin Ç.
europepmc +1 more source
TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition. [PDF]
Li W +6 more
europepmc +1 more source

