We present a method that identifies speakers that are likely to have a high false-reject rate in a text-dependent speaker verification system (“goats”). The method normally uses only the enrollment data to perform this task. We begin with extracting an appropriate feature from each enrollment session. We then rank all the enrollment sessions in the system based on this feature. The lowest-ranki...

It has been demonstrated that there seem to be non-linguistic patterns from which listeners refer to the appearance of a speaker. This study completes the collected voice parameters, which count so far as indicators of physical attributes and as factors for voice attractiveness. Since scientists tend to prefer male voices for such analyses this one is based on female voices and bothgendered jud...

A likelihood-ratio-based forensic speaker discrimination was conducted using the mean formant frequencies of Standard Chinese /i/ and /y/ tokens produced by 64 male speakers. The speech data were relatively forensically realistic in that they were relatively extemporaneous, were recorded over the telephone, and were from three non-contemporaneous recording sessions. A multivariate-kernel-densit...

This paper describes the Voice Conversion Challenge 2016 devised by the authors to better understand different voice conversion (VC) techniques by comparing their performance on a common dataset. The task of the challenge was speaker conversion, i.e., to transform the voice identity of a source speaker into that of a target speaker while preserving the linguistic content. Using a common dataset...

A forensic phonetic speaker recognition experiment with spontaneous speech samples of known and unknown speakers was carried out while listeners underwent a functional magnetic resonance imaging (fMRI) scan. In sighted participants, listening to familiar in contrast to unfamiliar speakers elicited brain activations in the right frontal pole and the left part of the cerebellum. When fMRI data of...

Article history: Received 9 February 2007 Received in revised form 23 May 2008 Accepted 5 August 2008

This paper concerns the application of glottal models and closed-phase analysis to the problem of speaker recognition. A glottal model based on one originally proposed by Fujisaki and Ljungqvist was used in conjunction with closed-phase analysis to yield features for a speaker recognition system used in the NIST 2003 Speaker Recognition Evaluation. Scores from the system based on the glottal mo...

This paper proposes a single-source multi-sample fusion approach to text-independent speaker verification. In conventional speaker verification systems, the scores obtained from claimant’s utterances are averaged and the resulting mean score is used for decision making. Instead of using an equal weight for all scores, this paper proposes assigning a different weight to each score, where the wei...

Cross-linguistic phonetic studies have yielded several insights into the possible states of the glottis. People can control the glottis so that they produce speech sounds with not only regular voicing vibrations at a range of different pitches, but also harsh, soft, creaky, breathy and a variety of other phonation types. These are controllable variations in the actions of the glottis, not just ...