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.
Results
Showing 1 to 20 of 27 for “"speaker verification"”.
-
Biologically inspired speaker verification
Speaker verification is an active research problem that has been addressed using a variety of different classification techniques. However, in general, methods inspired by the human auditory system tend to show better verification performance than other methods. In this thesis three biologically …
-
Edge Device Speaker Verification
… learning directly in the “wild”. The problem of speaker verification, for a long time, has been deployed to perform inference on systems with significant computations resources. More recently, these systems have been built for smaller, cheaper devices which can be placed in people's homes or …
-
Speaker Verification and Language Recognition
L'abstract è presente nell'allegato / the abstract is in the attachment
-
The role of dynamic features in speaker verification
… study to explore the role of dynamic features in speaker verification. Based on the theory that dynamic information should contain important speaker information, modelling the dynamics should have the potential to improve the speaker verification performance. Experiments on TD-SV using segmental …
-
A segment-based speaker verification system using SUMMIT
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
-
EFFECTIVENESS OF LOW-FREQUENCY PARAMETERS FOR AUTOMATIC SPEAKER VERIFICATION.
Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1977 .V55. Source: Dissertation Abstracts International, Volume: 38-04, Section: B, page: 1834. Thesis (Ph.D.)--University of Windsor (Canada), 1977.
-
Automatic speaker verification and diarization on VoxCeleb data collection
Automatic speaker verification (ASV) is increasingly getting more attention in speech research field in recent years. Because of the importance of cyber-security and personal property security, ASV can be used in many fields in the future in addition to fingerprint and face information. In ASV …
-
Prospects for applying speaker verification to unattended secure banking
… equal-error rate. A technique of generating speaker-specific but globally adjustable thresholds is presented for occasions when error rates are of interest. Also, two databases, one with over 200 speakers, have been collected.<br/><br/>Enrolling customers record several versions of the same …
-
Exploration of small enrollment speaker verification on handheld devices
This thesis explores the problem of robust speaker verification for handheld devices under the context of extremely limited training data. Although speaker verification technology is an area of great promise for security applications, the implementation of such a system on handheld devices presents …
-
A non-linear polynomial approximation filter for robust speaker verification
Bibliography: leaves 101-109.
-
Bayesian distance metric learning on i-vector for speaker verification
… metric learning (Bayes_dml) for the task of speaker verification using the i-vector feature representation. We propose a framework that explores the distance constraints between i-vector pairs from the same speaker and different speakers. With an approximation of the distance metric as a …
-
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 …
-
Histogram equalization for robust text-independent speaker verification in telephone environments
Word processed copy. Includes bibliographical references.
-
Subspace and graph methods to leverage auxiliary data for limited target data multi-class classification, applied to speaker verification
… training. Such cases arise in face recognition, speaker verification, and document classification, among others. Auxiliary data-sets, which contain a diverse sampling of non-target instances, are leveraged in this thesis using subspace and graph methods to improve classification where target data …
-
Personalized Voice Activated Grasping System for a Robotic Exoskeleton Glove
… trigger-word configurable voice activation and speaker verification system (CVASV), is integrated into a robotic exoskeleton glove to perform high-level control. The CVASV HMI is designed for embedded systems with limited computing power to perform voice-activation and voice-verification …
-
An architecture for low-power voice-command recognition systems
… for the applications of text-dependent speaker-verification and user-independent command recognition, respectively. For speaker-verification, the features are selected with knowledge of the speaker's fundamental frequency and are adapted based on the noise spectrum. The back-end …
-
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 …
-
Mutual features for pattern classification
… the inputs. For example, a mutual feature is a speaker signature under varying channel conditions or a face signature under varying illumination conditions. By definition, the mutual feature is a linear combination of class examples that is equally correlated with all training samples in the …
-
Speaker Identification and Verification Using Line Spectral Frequencies
State-of-the-art speaker identification and verification (SIV) systems provide near perfect performance under clean conditions. However, their performance deteriorates in the presence of background noise. Many feature compensation, model compensation and signal enhancement techniques have been …
-
Unsupervised learning of disentangled representations for speech with neural variational inference models
… but not limited to: voice conversion, denoising, speaker verification, speaker invariant phonetic feature extraction, and noise invariant phonetic feature extraction. In the last part of this thesis, we examine scalability issues regarding the original FHVAE training algorithm in terms of runtime, …
Page 1 of 2