Results 21 to 30 of about 1,724,683 (286)

Variational autoencoder for prosody-based speaker recognition

ETRI Journal, 2023
This paper describes a novel end-to-end deep generative model-based speaker recognition system using prosodic features. The usefulness of variational autoencoders (VAE) in learning the speaker-specific prosody representations for the speaker recognition ...
Starlet Ben Alex, Leena Mary
doaj   +1 more source

Speaker Recognition using Random Forest [PDF]

ITM Web of Conferences, 2021
Speaker identification has become a mainstream technology in the field of machine learning that involves determining the identity of a speaker from his/her speech sample.
Khadar Nawas K, Kumar Barik Manish, Nayeemulla Khan A   +2 more
doaj   +1 more source

Application of Split Residual Multilevel Attention Network in Speaker Recognition

IEEE Access, 2023
Current speaker recognition systems are mainly for the combined application of network architectures and attention mechanisms, however, lightweight networks are not able to extract frame-level features of speaker speech well, and deeper and wider ...
Jiji Wang, Fei Deng, Lihong Deng, Ping Gao, Yuanxiang Huang   +4 more
doaj   +1 more source

New consonantal acoustic parameters for forensic speaker comparison [PDF]

, 2012
This thesis examines acoustic parameters of five consonants /m, n, ŋ, l, s/ in two dialects of British English: Standard Southern British English and Leeds English.
Kavanagh, Colleen
core   +6 more sources

Learning to Fool the Speaker Recognition [PDF]

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Accepted by ...
Jiguo Li 0002, Xinfeng Zhang 0001, Jizheng Xu, Li Zhang 0006, Yue Wang 0032, Siwei Ma 0001, Wen Gao 0001   +6 more
openaire   +3 more sources

Automatic Speaker Recognition based on Gabor Features and Convolutional Neural Networks [PDF]

مجله مدل سازی در مهندسی, 2023
Human voice contains characteristics such as: ethnicity, gender, feelings, age and other information, and speaker recognition identifies people based on their voice.
Abdolreza Rashno, Sadegh Fadaei, Abdolsamad Hamidi   +2 more
doaj   +1 more source

Enhancing Biometric Speaker Recognition Through MFCC Feature Extraction and Polar Codes for Remote Application

IEEE Access, 2023
While extensive research has been conducted in the field of biometrics, particularly in face and fingerprint recognition, remote speaker recognition has yet to gain global acceptance due to challenges related to accuracy and data integrity.
Nilashree Wankhede, Sushama Wagh
doaj   +1 more source

Forensic speaker recognition [PDF]

IEEE Signal Processing Magazine, 2009
Looking at the different points highlighted in this article, we affirm that forensic applications of speaker recognition should still be taken under a necessary need for caution. Disseminating this message remains one of the most important responsibilities of speaker recognition researchers.
Campbell, Joseph, Shen, Wade, Campbell, William, Schwartz, Reva, Bonastre, J-F, Matrouf, Driss   +5 more
openaire   +4 more sources

Speaker segmentation and clustering [PDF]

, 2008
07.08.13 KB. Ok to add the accepted version to Spiral, Elsevier says ok whlile mandate not enforced.This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding
Kotti, Margarita, Moschou, Vassiliki, Kotropoulos, Constantine, Margarita Kotti, Vassiliki Moschou, Constantine Kotropoulos   +5 more
core   +1 more source

A high-performance text-independent speaker identification of Arabic speakers using a CHMM-based approach

Alexandria Engineering Journal, 2011
This paper reports an approach that depends on Continuous Hidden Markov Models (CHMMs) to identify Arabic speakers automatically from their voices. The Mel-Frequency Cepstral Coefficients (MFCCs) were selected to describe the speech signal.
Hesham Tolba
doaj   +1 more source