Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 35 for “"Speaker recognition"”.
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Text-independent speaker recognition
This research presents new text-independent speaker recognition system with multivariate tools such as Principal Component Analysis (PCA) and Independent Component Analysis (ICA) embedded into the recognition system after the feature extraction step. The proposed approach evaluates the performance …
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Deep Representation Learning for Speaker Recognition
Automated SR solutions are often used in smart devices that are capable of recording audio for authentication purposes or to personalize the services provided by these devices towards each user. Over that past few years, deep learning solutions for SR have attracted large amounts of attention. The …
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ASR dependent techniques for speaker recognition
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Scalable learning for geostatistics and speaker recognition
… towards different domains, geostatistics and speaker recognition in particular. Initially we focus on kernel based learning methods and develop a GPU based parallel framework for this class of problems. An improved numerical algorithm that utilizes the GPU parallelization to further enhance …
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Development of machine learning based speaker recognition system
… (i.e. identification). We designed the entire speaker recognition system to be integrated into the Siebel Center’s infrastructure, and named it “Biometric Authentication System for the Siebel Center (BASS)”. The main idea is to extract discriminative characteristics of an individual’s …
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Applications of missing feature theory to speaker recognition
An important problem in speaker recognition is the degradation that occurs when speaker models trained with speech from one type of channel are used to score speech from another type of channel, known as channel mismatch. This thesis investigates various channel compensation techniques and …
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An approach to a robust speaker recognition system
… presents a design of a robust, automatic speaker recognition (ASR) system. The ASR system is designed to work with both text-independent and text-dependent speaker recognition. Several speaker spectral features are studied to determine their contribution in term of accuracy to the system. …
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Robust speaker recognition in reverberant condition : toward greater biometric security
Automatic speaker recognition systems have developed into an increasingly relevant technology for security applications in modern times. The primary challenge for automatic speaker recognition is to deal with the variability of the environments and channels from where the speech was obtained. In …
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Towards the use of sub-band processing in automatic speaker recognition
Automatic speaker recognition uses a person’s voice as a means of identifying them. It has many practical applications, particularly in the area of security systems. The thesis investigates the application of neural networks (both classifying and predicting) to the problem, as well as offering a …
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Implementation and evaluation of a low complexity microphone array for speaker recognition
… technique for improving the robustness of speaker recognition systems in a diffuse noise field.
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Analysis of nonmodal glottal event patterns with application to automatic speaker recognition
… are likely to contain information about speaker identity, language, dialect, and vocal-fold health. As a basis for testing such dependencies, we develop a representation of patterns in the relative timing and height of nonmodal glottal pulses. To extract the timing and height of candidate …
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Robust speaker recognition in presence of non-trivial environmental noise (toward greater biometric security)
The aim of this thesis is to investigate speaker recognition in the presence of environmental noise, and to develop a robust speaker recognition method. Recently, Speaker Recognition has been the object of considerable research due to its wide use in various areas. Despite major developments in …
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Decoding the Depths: Developing a Click Separator for Predictive Speaker Recognition in Sperm Whale Conversations Using Machine Learning
… thus far. This research aimed to build a whale-speaker identification model that can be paired with a predictive click-detection mechanism to automate the production of accurate annotations. I discuss three methodologies that aim to achieve this objective. The first proposal is a heuristic-based …
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Speaker Dependent Voice Recognition with Word-Tense Association and Part-of-Speech Tagging
… Research has been conducted on speech recognition and Speaker Recognition over the past few decades. Speaker recognition deals with identifying the speaker from multiple speakers and the ability to filter out the voice of an individual from the background for computational …
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Automatic assessment of voice similarity and its implications for forensic applications
Speakers of varying degrees of similarity are required for forensic purposes, for instance officer or witness protection, relevant populations for forensic speaker recognition, or voice parades and earwitness assessments. In the past decade, the collection of speech has become much easier, offering …
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Feature extraction and normalization in SVM speaker verification using telephone speech
… classifier is applied to a text independent speaker verification task using conversational telephone speech from the NIST 2000 Speaker Recognition Evaluation. The SVM is a discriminative classifier with good generalization characteristics. It has been shown to perform as well as, and …
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Overcoming resource limitations in the processing of unlimited speech : applications to speaker and language recognition
… we explore these two themes in the context of speaker and language recognition. First, we consider the problem of adapting an existing algorithm for speaker recognition to a systematic change in our input domain. Then we undertake the scenario in which we start with only unlabeled data and are …
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ΝΕΑ ΜΕΘΟΔΟΣ ΑΥΤΟΜΑΤΗΣ ΑΝΑΓΝΩΡΙΣΗΣ ΟΜΙΛΗΤΗ
THE THESIS PRESENTS A NEW METHOD FOR AN AUTOMATIC SPEAKER RECOGNITION SYSTEM, WHICH COULD BE FAVORABLY IMPLEMENTED FOR IDENTIFICATION AS WELL AS FOR VERIFICATION PURPOSES. THIS METHOD IS BASED ON A SUBSTANTIALLY REDUCED NUMBER OF ELEMENTS OF THE PATTERN VECTOR IN COMPARISON TO SIMILAR METHODS. THE …
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Exploiting pitch dynamics for speech spectral estimation using a two-dimensional processing framework
… our framework in the particular application of speaker recognition with preliminary results indicating a performance gender-gap closure on subsets of the TIMIT corpus.
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Técnicas para conversão de orador em sinais de voz
… that transforms a voice signal spoken by some speaker into a signal that sounds like it was spoken by another speaker, without changing the textual content of the speech or changing information like emotion or emphasis. The main objective of this work is to compare the conversion as done by …
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