Results 81 to 90 of about 756,236 (193)
Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection. [PDF]
Rostami AM +2 more
europepmc +1 more source
A lightweight speaker verification approach for autonomous vehicles
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 practical applications, such as verifying customer identities in call ...
Yousef Salah, Omar Shalash, Esraa Khatab
doaj +1 more source
ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification [PDF]
In speaker verification, we use computational method to verify if an utterance matches the identity of an enrolled speaker. This task is similar to the manual task of forensic voice comparison, where linguistic analysis is combined with auditory ...
Liu, Tianchi +3 more
core +3 more sources
Feature Extraction Approach for Speaker Verification to Support Healthcare System Using Blockchain Security for Data Privacy. [PDF]
Upadhyay S +8 more
europepmc +1 more source
Percentage of incorrect interactions during speaker verification.
Percentage of incorrect interactions during speaker verification.
Richard Michael Guest (4993688) +3 more
core +1 more source
Speaker embeddings trained with Matryoshka Representation Learning (MRL) provide embeddings of various dimensions with minimal overhead, adapting to different computational and storage constraints.
Sunchan Park, Hyung Soon Kim
doaj +1 more source
Privacy-Oriented Manipulation of Speaker Representations
Speaker embeddings are ubiquitous, with applications ranging from speaker recognition and diarization to speech synthesis and voice anonymization. The amount of information held by these embeddings lends them versatility but also raises privacy concerns.
Francisco Teixeira +3 more
doaj +1 more source
Using Reversed MFCC and IT-EM for Automatic Speaker Verification [PDF]
This paper proposes text independent automatic speaker verification system using IMFCC (Inverse/ Reverse Mel Frequency Coefficients) and IT-EM (Information Theoretic Expectation Maximization).
Sheeraz Memon +2 more
doaj
In this work we address the speaker verification task in domestic environments where multiple rooms are monitored by a set of distributed microphones.
Alessio Brutti +3 more
core +1 more source
Discriminative Adaptation for Speaker Verification
Speaker verification is a binary classification task to determine whether a claimed speaker uttered a phrase. Current approaches to speaker verification tasks typically involve adapting a general speaker Universal Background Model (UBM), normally a ...
core

