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Speaker Recognition using Multiple X-Vector Speaker Representations with Two-Stage Clustering and Outlier Detection Refinement

Autor: Shrestha, Roman, Glackin, Cornelius, Wall, Julie, Cannings, Nigel, Rajwadi, Marvin, Kada, Satya, Laird, James, Laird, Thea, Woodruff, Chris

Publikováno v: 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

This paper presents a novel Variational Bayes x-vector Voice Print Extraction (VBxVPE) system, capable of capturing vocal variations using multiple x-vector representations with two-stage clustering and outlier detection for robust speaker recognitio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a1b2b4a8a5044a3ed2de5b8217c15b

Multi-stages decision voice print recognition in telecommunication

Autor: Ma Fa Jiang, Tian Lan, Lu Xiao Shan

Publikováno v: MATEC Web of Conferences, Vol 63, p 04044 (2016)

Using the cepstrum and pitch parameter, a VQ voice print recognition (i.e. speaker identification) method was realized and used in telecommunication. In this paper, we analyzed the characteristic of long-time LPCCEP and the pitch parameter for text-i

Externí odkaz: https://doaj.org/article/c480f254f98b4127b1e0808560d6ee4c

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Voice Print, Syntora And Pipkins Partner For Solution.

Autor: Schelmetic, Tracey E.

Publikováno v: Customer Inter@ction Solutions. Apr2006, Vol. 24 Issue 10, p21-21. 1/6p.