Amanote Research

Amanote Research

    RegisterSign In

Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification

IEEE Signal Processing Letters - United States
doi 10.1109/lsp.2014.2323432
Full Text
Open PDF
Abstract

Available in full text

Categories
Electronic EngineeringApplied MathematicsElectricalSignal Processing
Date

September 1, 2014

Authors

Unknown

Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

Channel / Handset Mismatch Evaluation in a Biometric Speaker Verification Using Shifted Delta Cepstral Features

English

Extraction of Speaker Features From Different Stages of DSR Front-Ends for Distributed Speaker Verification

Genetic Resources and Crop Evolution
EvolutionEcologyGeneticsCrop ScienceSystematicsPlant ScienceBehaviorAgronomy
2005English

Multitaper MFCC and Normalized Multitaper Phase-Based Features for Speaker Verification

SN Applied Sciences
2019English

Linear Versus Mel Frequency Cepstral Coefficients for Speaker Recognition

2011English

Target Speaker Extraction for Multi-Talker Speaker Verification

2019English

A Discriminative Approach for Speaker Selection in Speaker De-Identification Systems

2015English

Speaker Verification and Identification

English

Introducing Phonetic Information to Speaker Embedding for Speaker Verification

Eurasip Journal on Audio, Speech, and Music Processing
AcousticsUltrasonicsElectricalElectronic Engineering
2019English

Multiple Kernel Learning for Speaker Verification

2008 IEEE International Conference on Acoustics, Speech and Signal Processing
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy