The processing of intimately familiar and unfamiliar voices: Specific neural responses of speaker recognition and identification
J Plante-Hébert, VJ Boucher, B Jemel - Plos one, 2021 - journals.plos.org
Research has repeatedly shown that familiar and unfamiliar voices elicit different neural
responses. But it has also been suggested that different neural correlates associate with the …
responses. But it has also been suggested that different neural correlates associate with the …
[PDF][PDF] Mel, linear, and antimel frequency cepstral coefficients in broad phonetic regions for telephone speaker recognition
H Lei, E Lopez - Tenth Annual Conference of the International …, 2009 - isca-archive.org
We've examined the speaker discriminative power of mel-, antimel-and linear-frequency
cepstral coefficients (MFCCs, a-MFCCs and LFCCs) in the nasal, vowel, and non-nasal …
cepstral coefficients (MFCCs, a-MFCCs and LFCCs) in the nasal, vowel, and non-nasal …
Spoken pass-phrase suitability determination
US10339290B2 - Spoken pass-phrase suitability determination - Google Patents US10339290B2
- Spoken pass-phrase suitability determination - Google Patents Spoken pass-phrase suitability …
- Spoken pass-phrase suitability determination - Google Patents Spoken pass-phrase suitability …
Template-matching for text-dependent speaker verification
In the last decade, i-vector and Joint Factor Analysis (JFA) approaches to speaker modeling
have become ubiquitous in the area of automatic speaker recognition. Both of these …
have become ubiquitous in the area of automatic speaker recognition. Both of these …
[HTML][HTML] Relative significance of speech sounds in speaker verification systems
BSM Rafi, S Sankala, KSR Murty - Circuits, Systems, and Signal …, 2023 - Springer
Automatic speaker verification (ASV) is the task of authenticating claimed identity of a
speaker from his/her voice characteristics. State-of-the-art ASV systems rely on capturing the …
speaker from his/her voice characteristics. State-of-the-art ASV systems rely on capturing the …
Phonetic content impact on forensic voice comparison
Forensic Voice Comparison (FVC) is increasingly using the likelihood ratio (LR) in order to
indicate whether the evidence supports the prosecution (same-speaker) or defender …
indicate whether the evidence supports the prosecution (same-speaker) or defender …
New consonantal acoustic parameters for forensic speaker comparison
C Kavanagh - 2012 - etheses.whiterose.ac.uk
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. The research aims to …
British English: Standard Southern British English and Leeds English. The research aims to …
Speaker-dependent characteristics of the nasals
K Amino, T Arai - Forensic science international, 2009 - Elsevier
Investigation on human speaker identification enables us to know the indexical cues to
speakers, and it may consequently lead to the effective acoustical parameters that can be …
speakers, and it may consequently lead to the effective acoustical parameters that can be …
How phonemes contribute to deep speaker models?
Which phonemes convey more speaker traits is a long-standing question, and various
perception experiments were conducted with human subjects. For speaker recognition …
perception experiments were conducted with human subjects. For speaker recognition …
The dynamics of indexical information in speech: Can recognizability be controlled by the speaker?
Human voices are individual and humans have elaborate skills in recognizing speakers by
their voice, phenomena that are deeply rooted in the evolution of human behavior. To date …
their voice, phenomena that are deeply rooted in the evolution of human behavior. To date …