Forensic Automatic Speaker Identification System for Korean Speakers

Abstract

In this paper, we introduce the automatic speaker identification system 'SPO(Supreme Prosecutors Office) Verifier'. SPO Verifier is a GMM(Gaussian mixture model)-UBM(universal background model) based automatic speaker recognition system and has been developed using Korean speakers' utterances. This system uses a channel compensation algorithm to compensate recording device characteristics. The system can give the users the ability to manage reference models with utterances from various environments to get more accurate recognition results. To evaluate the performance of SPO Verifier on Korean speakers, we compared this system with one of the most widely used commercial systems in the forensic field. The results showed that SPO Verifier shows lower EER(equal error rate) than that of the commercial system.

Automatic speaker recognition of spanish siblings: (monozygotic and dizygotic) twins and non-twin brothers

“…Apart from Künzel (2010), the other study that has analyzed twins' voices using Batvox TM (Version 3.0) focused only on female voices (Kim, 2010), so the results in that study are not comparable with ours. From the investigation of Künzel (2010) we know that there is an important sex-related difference in the performance of the automatic system, this being superior for male as compared to female voices (see Section 1.2).…”

“…The main objectives of the ASR studies reviewed in San Segundo (2014) are one of the following: (a) comparing the performance of ASR systems with the ability of familiar and non-familiar listeners to discriminate twins (Homayounpour & Chollet, 1995); (b) testing if an ASR system is able to detect correctly the twin pair of a speaker (Scheffer et al 2004), or (c) in general, testing the intra-speaker, inter-speaker and intrapair similarity of twins, for example in terms of Likelihood Ratios (LRs) or similarity coefficients. In this last research line we find two recent studies, namely Kim (2010) and Künzel (2010). Since both use the same ASR system that we are using in our study, we will devote an important part of this section to the description of their objectives and main findings.…”

“…Since both use the same ASR system that we are using in our study, we will devote an important part of this section to the description of their objectives and main findings. Kim (2010) studied 22 Korean female twin pairs (17 MZ, including one triplet and five DZ) using Agnitio Voice Biometrics' Batvox TM (Version 3.0). Two different speaking styles-text reading and spontaneous interview-were used.…”

“…From the investigation of Künzel (2010) we know that there is an important sex-related difference in the performance of the automatic system, this being superior for male as compared to female voices (see Section 1.2). Yet, it is worth-mentio-ning that Kim (2010) also found that in nine out of 22 cases, twins could be misidentified. She specifically refers to a situation where intra-twin LRs in the same speaking style condition were higher than intra-speaker LRs in different speaking style condition.…”

Voice Biometrical Match of Mother and Daughter for Forensic Purpose

“…Künzel in his study showed that there is an important gender related difference in the presentation of the automatic system, this being superior for male as related to female voices [17]. In a study made by Kim showed that analyzed twins' voices is focused only on female voices and these studies are almost comparable with our study [18].…”