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.
The data accumulated in this database will be used to develop a speaker identification system. This may also be applied towards, but not limited to, fields of phonetic studies, sociolinguistics, and language pathology. We plan to supplement the large-scale speech corpus next year, in terms of research methodology and content, to better answer the needs of diverse fields. The purpose of this study is to develop a speech corpus for standard Korean speech. For the samples to viably represent the state of spoken Korean, demographic factors were considered to modulate a balanced spread of age, gender, and dialects. Nine separate regional dialects were categorized, and five age groups were established from individuals in their 20s to 60s. A speech-sample collection protocol was developed for the purpose of this study where each speaker performs five tasks: two reading tasks, two semi-spontaneous speech tasks, and one spontaneous speech task. This particular configuration of sample data collection accommodates gathering of rich and well-balanced speech-samples across various speech types, and is expected to improve the utility of the speech corpus developed in this study. Samples from 639 individuals were collected using the protocol. Speech samples were collected also from other sources, for a combined total of samples from 1,012 individuals.
Objectives:
To determine whether there are gender differences in the clinical presentation or skin biopsy measures of nerve fiber density in patients with small fiber neuropathy (SFN).
Methods:
Retrospective chart review of subjects with suspected SFN.
Results:
Of 218 cases (137 women and 81 men) with suspected SFN, 96 (44%), including 63% of the men and 33% of the women (P < 0.05), had low epidermal nerve fiber density (ENFD) or sweat gland nerve fiber density (SGNFD). There were no differences in the clinical presentation between men and women. In those with abnormal findings, low ENFD alone was more frequent in women than men (51.1% vs. 7.8%, P < 0.05), whereas abnormal SGNFD alone was more frequent in men than women (68.6% vs. 11.1%, P < 0.05). Both SGNFD and ENFD were low in 23.5% of men and 33.3% of women. Skin biopsy findings were independent of clinical presentation or etiology.
Conclusions:
The clinical presentation of SFN is similar in men and women. In skin biopsy studies, low ENFD is more common in women and low SGNFD in men.
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