[PDF] Top 20 Automatic Speaker Recognition System For Forensic Applications

... for speaker recognition for unknown sources with the known ...as forensic evidence. The forensic evidence can be defined as the relationship between such trace, whose source is unknown and ... See full document

... of speaker recognition and their effect on forensic human and automatic speaker ...baseline automatic speaker recognition ...human recognition in mismatched ... See full document

... native recognition is the natural ability of human beings which is always very effective and ...speakers recognition, which can motivate new directions for both automated and forensic system ... See full document

... pattern recognition)
Highly influenced by fingerprinting, once a set of observations is obtained:  The expert (subjectively)
weighs the similarities and dissimilarities
set thresholds for ... See full document

... 2.2. Authentic crime case data Real crime investigation speech data is used in the second part of the study. The known and unknown speech samples in several crime investigation cases were recorded during the years ... See full document

... by system-generated question to the speaker at ...many applications, these models are more important than disadvantages, so these models are widely used in ASR ... See full document

... which system rejects a word which is indeed correct and should be present in the final ...For speaker adaptation purposes this difference carries no effect on the performance since the total number of ... See full document

... the system evaluation in short duration conditions [103], and motivated by the application of automatic speaker recogni- tion to forensics, this paper presents a study on i-vector based ... See full document

... (RUN) automatic speaker recognition system [15] computed scores for all trials, ...the system, b) the target priors for each subject are the same, c) the overall dif- ficulty is similar ... See full document

... the system in the feature selection, and this particular example might be revealing a potential flaw in Y-ACCDIST’s modelling approach of collapsing segments into their phoneme ...a speaker discriminant ... See full document

... D. YOHO The YOHO corpus was designed for evaluating speaker verification in text-dependent situation for secure access applications. This database consists of 138 speakers, out of which 106are male and 32 ... See full document

... Abstract—Speaker recognition has been developed and evolved over the past few decades into a supposedly mature ...real-world applications, especially security and forensics related ones, reliability ... See full document

... based speaker recognition has been studied in ...on speaker recognition systems using Gaussian mixture models (GMM), hidden Markov models (HMM) and quantization models (VQ) has been tackled in ... See full document

... NIST Speaker Recognition Evaluations have always demanded from participants a very complex machinery of signal process-­ ing, pattern recognition, data engineering and computa-­ tional ...and ... See full document

... a system of distinctive or recognizing the identity of a living person supported physiological or behavioral characteristics ...the speaker. The automatic recognition of speaker and ... See full document

... However, MFCC has been the most frequently used technique especially in speech recognition and speaker verification applications [26]. 2.3.1 Linear Predictive Coding (LPC) According to Huang et al. ... See full document

... In the light of the very efficient AdaBoost face detection system of Viola and Jones, Ratsch, Romdhani, and Vetter (2004) attempted to further improve the SVM cascaded classifier. The run-time bottle-neck being ... See full document

... ker recognition community should investigate ways of converg- ing to this new paradigm in forensic ...assessing forensic speaker recognition systems may be helpful for their ... See full document

... Abstract: Voice is a part of human that has unique characteristics and can be distinguished from one person to another so that it can b e used for loudspeakers as needed to use biometric sounds in the process of logging ... See full document

... an automatic speaker recognition system can be used directly in a score-to-likelihood ratio function that is learned using empirical data [2, 7–14], a process known as ...a speaker ... See full document