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Dissertations / Theses on the topic 'Text-independent speaker verification systems'

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Published: 4 June 2021

Last updated: 4 February 2022

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1

Shou-Chun, Yin 1980. "Speaker adaptation in joint factor analysis based text independent speaker verification." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100735.

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This thesis presents methods for supervised and unsupervised speaker adaptation of Gaussian mixture speaker models in text-independent speaker verification. The proposed methods are based on an approach which is able to separate speaker and channel variability so that progressive updating of speaker models can be performed while minimizing the influence of the channel variability associated with the adaptation recordings. This approach relies on a joint factor analysis model of intrinsic speaker variability and session variability where inter-session variation is assumed to result primarily fr

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2

PINHEIRO, Hector Natan Batista. "Verificação de locutores independente de texto: uma análise de robustez a ruído." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/18045.

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Submitted by Irene Nascimento (irene.kessia@ufpe.br) on 2016-11-08T19:13:18Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Final.pdf: 15901621 bytes, checksum: e3bd1c1be70941932d970f61be02e4c1 (MD5)<br>Made available in DSpace on 2016-11-08T19:13:18Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação_Final.pdf: 15901621 bytes, checksum: e3bd1c1be70941932d970f61be02e4c1 (MD5) Previous issue date: 2015-02-25<br>O processo de identificação de um determinado indivíduo

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Auckenthaler, R. W. "Text-independent speaker verification with limited resources." Thesis, Swansea University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635810.

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Access to data or secure areas today requires verification of the person's identity. This is commonly performed by entering the PIN, a publicly unknown personal identification number. A person must remember this PIN and access is denied when a wrong number is entered or the number is forgotten. The PIN can also accidentally become known to the public domain. Then every person is able to access the private information. Biological characteristics of a person are used in future applications for the purpose of verification. These "biometrics" increase the convenience of the system and can lead to

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4

Mariéthoz, Johnny Paugam-Moisy Hélène. "Discriminant models for text-independent speaker verification." Lyon : Université Lumière Lyon 2, 2006. http://theses.univ-lyon2.fr/sdx/theses/lyon2/2006/mariethoz_j.

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5

Longworth, Chris. "Kernel methods for text-independent speaker verification." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608599.

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6

Uzuner, Halil. "Robust text-independent speaker recognition over telecommunications systems." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/843391/.

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Biometric recognition methods, using human features such as voice, face or fingeorprints, are increasingly popular for user authentication. Voice is unique in that it is a non-intrusive biometric which can be transmitted over the existing telecommunication networks, thereby allowing remote authentication. Current spealcer recognition systems can provide high recognition rates on clean speech signals. However, their performance has been shown to degrade in real-life applications such as telephone banking, where speech compression and background noise can affect the speech signal. In this work,

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7

Skosan, Marshalleno. "Histogram equalization for robust text-independent speaker verification in telephone environments." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/5103.

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Wildermoth, Brett Richard, and n/a. "Text-Independent Speaker Recognition Using Source Based Features." Griffith University. School of Microelectronic Engineering, 2001. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040831.115646.

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Speech signal is basically meant to carry the information about the linguistic message. But, it also contains the speaker-specific information. It is generated by acoustically exciting the cavities of the mouth and nose, and can be used to recognize (identify/verify) a person. This thesis deals with the speaker identification task; i.e., to find the identity of a person using his/her speech from a group of persons already enrolled during the training phase. Listeners use many audible cues in identifying speakers. These cues range from high level cues such as semantics and linguistics of the sp

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9

Gedik, Berk. "Evaluation of Text-Independent and Closed-Set Speaker Identification Systems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239625.

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Speaker recognition is the task of recognizing a speaker of a given speech record and it has wide application areas. In this thesis, various machine learning models such as Gaussian Mixture Model (GMM), k-Nearest Neighbor(k-NN) Model and Support Vector Machines (SVM) and feature extraction methods such as Mel-Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) are investigated for the speaker recognition task. Combinations of those models and feature extraction methods are evaluated on many datasets varying on the number of speakers and training data size.

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10

El, Hannani Asmaa. "Text-independent speaker verification based on high-level information extracted with data-driven methods." Evry, Institut national des télécommunications, 2007. http://www.theses.fr/2007TELE0009.

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Cette thèse s’inscrit dans le cadre de la vérification du locuteur qui vise à authentifier l’identité proclamée par le locuteur. La parole contient deux types d’informations caractérisant l’identité du locuteur. Le premier type (bas-niveau) reflète les propriétés spectrales de la parole qui sont liées à la structure physique de l’appareil vocal, alors que le deuxième type d’information (haut-niveau) reflète les traits comportementaux tels que la prosodie, l’information phonétique, la prononciation, l’utilisation idiolectale de mots, les paternes conversationnels, etc. Récemment, diverses étude

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11

Al-Kaltakchi, Musab Tahseen Salahaldeen. "Robust text independent closed set speaker identification systems and their evaluation." Thesis, University of Newcastle upon Tyne, 2018. http://hdl.handle.net/10443/3978.

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This thesis focuses upon text independent closed set speaker identi cation. The contributions relate to evaluation studies in the presence of various types of noise and handset e ects. Extensive evaluations are performed on four databases. The rst contribution is in the context of the use of the Gaussian Mixture Model-Universal Background Model (GMM-UBM) with original speech recordings from only the TIMIT database. Four main simulations for Speaker Identi cation Accuracy (SIA) are presented including di erent fusion strategies: Late fusion (score based), early fusion (feature based) and early-

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12

Reynolds, Douglas A. "A Gaussian mixture modeling approach to text-independent speaker identification." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/16903.

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13

Imoscopi, Stefano. "Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193535.

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The aim of speaker recognition and veri cation is to identify people's identity from the characteristics of their voices (voice biometrics). Traditionally this technology has been employed mostly for security or authentication purposes, identi cation of employees/customers and criminal investigations. During the last decade the increasing popularity of hands-free and voice-controlled systems and the massive growth of media content generated on the internet has increased the need for techniques to automatically and accurately analyse speech signals. Speaker recognition is thus becoming a fundam

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14

Louradour, Jérôme. "Noyaux de séquences pour la vérification du locuteur par machines à vecteurs de support." Toulouse 3, 2007. http://www.theses.fr/2007TOU30004.

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La vérification automatique du locuteur (VAL) est une tâche de classification binaire, qui consiste à déterminer si un énoncé de parole a été prononcé ou non par un locuteur cible. Les Machines à Vecteurs de Support (SVMs) sont devenues un outil classique pour ce type de classification. Cette approche discriminante a suscité l’intérêt de nombreuses recherches en reconnaissance des formes, tant pour ses fondements théoriques solides que pour ses bonnes performances empiriques. Mais la mise en oeuvre des SVMs pour la VAL en situation réelle soulevant plusieurs problèmes relatifs aux caractéristi

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15

"Text-independent bilingual speaker verification system." 2003. http://library.cuhk.edu.hk/record=b5891732.

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Ma Bin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.<br>Includes bibliographical references (leaves 96-102).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iv<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Biometrics --- p.2<br>Chapter 1.2 --- Speaker Verification --- p.3<br>Chapter 1.3 --- Overview of Speaker Verification Systems --- p.4<br>Chapter 1.4 --- Text Dependency --- p.4<br>Chapter 1.4.1 --- Text-Dependent Speaker Verification --- p.5<br>Chapter 1.4.2 --- GMM-based Speaker Verification --- p.6<br>Chapter 1.5 --- Lan

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16

Yu-hong, Li, and 李昱鴻. "An Enhanced Text-Independent Speaker Verification System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/90462488993922482956.

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碩士<br>國立中興大學<br>電機工程學系<br>93<br>Speaker verification is an important technique in security and crime monitored, in this thesis, we proposed two algorithms to perform a traditional text-independent speaker verification system. First, an entropy algorithms is used in endpoint detection, and determine the test utterance length, next, a normalized background model is proposed to enhance the verification rate, the difference of our proposed model and traditional background model is computation decreasing. Experimental results demonstrate that our proposed algorithm was efficiency on text-independen

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Chiu, Yi-Chin, and 邱義欽. "A Study on Text-Independent Speaker Verification Method." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/95698869809280837002.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>102<br>This thesis investigates text-independent speaker verification method, and proposes a few ways of improving the verification performance by using better training procedure, selection of background speakers, gender-dependent background model, and nonlinear decision module based on artificial neural network. All these efforts aim to improve the speaker verification method such that it can be applied to a practical application. Experimental results show that the number of mixtures of GMMs influences the verification performance largely, while the number of iterat

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Adinarayanan, Sivabalan, and 旭法. "Text-Independent Speaker Verification Using Support Vector Machine." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/80323889477989247945.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>93<br>This dissertation aims to explore the technology of speaker recognition, specifically by researching the technique in current state-of-the-art systems. Current state-of-the-art speaker verification systems are based on discriminatively trained generative models. In these systems, discrimination is achieved with the linear function. We studied the use of support vector machines (SVMs) for text independent speaker verification. Two main approaches were considered. The first is approach using linear SVMs. The second approach is an utterance based approach using ke

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Huang, Shu-Sheng, and 黃書聖. "Usefulness of the LPC-Residue in Text-Independent Speaker Verification." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/82469025060341410741.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>94<br>ABSTRACT In this thesis, we want to study the usefulness of the LPC-residue on speaker verification. First, we make the experiment of the speech synthesis to prove the LPC-residue keep a lot of speaker’s information. We also verify that the LPC-residue contains much speaker’s information in text-independent speaker verification. And we will find some efficient methods to extract speech features. The results show that equal error rate of verification by using LPC-residue is lower than by using speech signal when the order of LPC-residue is 8 and using mean-

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xing-min-lin and 林幸民. "A Robust Text Dependent Speaker Verification System." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/73367737259637336248.

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碩士<br>國立中興大學<br>電機工程學系<br>92<br>Abstract By the prosperity of computer industry，people have higher requests for the security environment. Thus, the need for the speaker verification with the high distinguishing rate and low cost is indispensable. In general, in the quiets laboratory, it makes no difference that the speaker verification rate can be both reached the high distinguishing rate. However, the distinguishing rate in the different channel can be carried a lot. Therefore, to improve the distinguishing rate in the different channel is the major issue in this thesis.

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陳世豪. "Effects on Text-Independent Speaker Verification with Formants Extraction and Different Parameters." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/4qp6w9.

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22

Li, An-Chi, and 李安基. "Noise Reduction for Text Dependent Speaker Verification System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/28242714521701538505.

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碩士<br>國立中興大學<br>電機工程學系所<br>96<br>The development of speaker verification system become maturely and its application become extension of the scope. To raise the recognition rate is the key point of the speech recognition. In this thesis, we use many noise reduce methods to reduce the noise of speech and to raise the recognition rate. Two major methods were need in thesis to reduce the noise for test dependent speaker verification. The speaker verification experiment was conducted. The speech signals were taken from the MMLab database, NCHU. 100 speaker(50 males, 50 females) were need in the t

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Hong, Wei-ping, and 洪偉玶. "Usefulness of the LPC-Residue and LPC Coefficient in Text-Independent Speaker Verification." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/95586261639335208085.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>95<br>This thesis focuses on usefulness of the LPC-Residue and LPC Coefficient in the speaker verification system. First step in the front-end feature extraction get the magnitude spectrum of the speech signal from a 32ms short-time segment of speech that is pre-emphasized and processed by a mel-scale filterbank. And the output of the filterbank is then cosine transformed to produce the cepstral coefficients. The zeroth cepstral coefficient isn’t used in the feature vector. When we gotten the coefficients, passed the coefficients to the Gaussian mixture models (

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Fang, Yu-Chieh, and 方雨傑. "Using Average Spectrum in English text-independent speaker recognition systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/26294843116089040140.

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碩士<br>高苑科技大學<br>電機工程研究所<br>102<br>the technology of Voice recognition is more important to speaker identification, because of its technical is practiced and application is extended widely. The recognition system is insufficient whether the research or data to the Taiwanese speakers. so, this paper has represented several common voice recognition technologies to help complete the recognition system. In the paper, mainly in create a speaker identification system which apply to unspecific intonation that spoke by few speakers. The data base which we applied is a private broadcasting station that

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Chang, Sheng-Jyun, and 張勝鈞. "Double Feature Extraction for Text Dependent Speaker Verification System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/12043081480115871273.

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碩士<br>中興大學<br>電機工程學系所<br>95<br>In recent years, speaker verification technique and its applications become extension of the scope and the importance of the study of speaker verification is increasing. In this thesis, we developed a combined feature extraction set and used in place of conventional LPC or MFCC feature only. The Linear Predictive Coding (LPC) and its Delta-cepstral coefficients in voice verification system have shown a good result in speaker verification. The use of Mel-Frequency Cepstral Coefficients (MFCC) that has twenty triangular filters to approximate entire speech feature

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Ying-Hao, Chen, and 陳英豪. "Text-independent Speaker Recognition Systems Using GMM in 200 Mandarin Speakers." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/98000557557954695918.

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碩士<br>高苑科技大學<br>電子工程研究所<br>102<br>The purpose of this thesis is to establish a text-independent speaker identification system for medium-amount speaker populations.The database is from television recording, containing two hundred voice data. The period of each person's voice is seventy-five seconds.Text-independent speaker identification system operates pros and cons, depending on the rate of accurate identification and the speed of identification systems.In general, the rate of accurate identification is affected by the amount of subject language speakers.This paper classified a large number

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陳晴慧. "A Text-Independent Speaker Verification Technique Based on ICA and GPD Methods for Imposter-Rejection." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/31675190833565385570.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>93<br>In this thesis, we propose a novel text-independent speaker recognition system. A decomposition called the independent component analysis (ICA) is used to find out the most important and independent components of the original feature MFCC for the process of feature transformation. We also can reduce the dimension of the features depending on the ICA basis. These ICA-based features are used as our new features in the proposed system. The experiments have shown that using new features has an improvement on using MFCC. In addition, in the classifier phase, we ap

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Yan, Kuan-Hao, and 管浩延. "The Use of Mixture Endpoint Detection Technique for Text-Dependent Speaker Verification System." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/56600116939838315911.

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碩士<br>國立中興大學<br>通訊工程研究所<br>97<br>Speaker verification has been used in the area of biometric authentication. The recognition rate is the key issue for recent development of speech recognition. In this thesis, instead of the traditional endpoint detection method, we have developed a new mixture endpoint detection method to increase the recognition rate of the speaker verification. We adopt entropy and zero-crossing for end point detection to detect a real speech sections. We use this technique to locate a real speech section in noisy data, and then use the zero-crossing to detect an air sound f

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Wun-SyongLin and 林文雄. "An Embedded System Design and Implementation for Speaker Independent Single-Words Speech Verification using AMDF-based Pitch Features." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/58222930150850195164.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>99<br>Speech Interface of human-machine interactive system provides not only friendly interface but also a directly feedback mechanism for user. In this thesis, an embedded system is designed and implemented with using the pitch-based single-words speech verification to promote the functionality for speech interactive interface. The proposed system is especially designed for the hardware resource limitation environment, and it has the following features: small size, low cost, low power consumption, real-time operation, and can be widely applied to speech interacti

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