Results 221 to 230 of about 492,976 (275)

Automated Analysis of Naturalistic Recordings in Early Childhood: Applications, Challenges, and Opportunities. [PDF]

IEEE Signal Process Mag
Li J, Lavechin M, Fan X, McElwain NL, Cristia A, Garcia-Perera P, Hasegawa-Johnson M.   +6 more
europepmc   +1 more source

FedSER-XAI: PSO-optimized multi-stream cross-attention transformer with graph features for explainable federated speech emotion recognition. [PDF]

Sci Rep
Alkhamali EA, Allinjawi AA, Ashari RB, Tawfik M.   +3 more
europepmc   +1 more source

Detection of cloned voices in realistic forensic voice comparison scenarios. [PDF]

Front Artif Intell
Univaso P, San Segundo E.
europepmc   +1 more source

Publicly Available Large Language Models for Trichoscopy: A Head-to-Head Comparison with Dermatologists. [PDF]

Diagnostics (Basel)
Signer B, Mokhtari A, Cazzaniga S, Brand F, Caro G, de Viragh PA, Heidemeyer K, Hosseini A, Iorizzo M, Junge A, Martignoni Z, Reygagne PE, Piraccini BM, Starace M, Reimer-Taschenbrecker A, Vogel C, Obrist D, Seyed Jafari SM.   +17 more
europepmc   +1 more source

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Speaker Recognition

2012 Third International Conference on Computer and Communication Technology, 2012
Speech processing has emerged as one of the important application area of digital signal processing. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. This paper proposes the comparison of the MFCC and the Vector Quantisation technique for speaker recognition.
Supriya Tripathi, Smriti Bhatnagar
openaire   +1 more source

Phonetic speaker recognition

Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256), 2001
This paper introduces a novel language-independent speaker-recognition system based on differences in dynamic realization of phonetic features (i.e., pronunciation) between speakers rather than spectral differences in voice quality. The system exploits phonetic information from six languages to perform text independent speaker recognition.
M.A. Kohler, W.D. Andrews, J.P. Campbell, J. Herndndez-Cordero   +3 more
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Speaker recognition in conjunction with speaker independent word recognition

The Journal of the Acoustical Society of America, 1980
Our method for accomplishing speaker independent word recognition is to select a small set of word templates that typify and span individual speaker reference templates obtained from a large population of speakers. An unknown utterance is processed and compared with a set of such templates for each word in the vocabulary.
A. E. Rosenberg, K. L. Shipley
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From Speaker Recognition to Forensic Speaker Recognition

2014
The goal of this paper is to review automatic systems for forensic speaker recognition (FSR) based on scientifically approved methods for calculation and interpretation of biometric evidence. The objective of this paper is not to promote one speaker recognition method against another, but is to make available to the biometric research community data ...
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Familiar speaker recognition

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Speaker recognition by machines can be quite good for large groups as seen in NIST speaker recognition evaluations. However, speaker recognition by machine can be fragile for changing environments. This research examines how robust humans are for recognizing familiar speakers in changing environments.
Stanley J. Wenndt, Ronald L. Mitchell
openaire   +1 more source