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MSR Identity Toolbox v1.0: A MATLAB Toolbox for Speaker Recognition Research
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TLDR
The MSR Identity Toolbox is released, which contains a collection of MATLAB tools and routines that can be used for research and development in speaker recognition, and provides many of the functionalities available in other open-source speaker recognition toolkits.Abstract:
We are happy to announce the release of the MSR Identity Toolbox: A MATLAB toolbox for speaker-recognition research. This toolbox contains a collection of MATLAB tools and routines that can be used for research and development in speaker recognition. It provides researchers with a test bed for developing new front-end and back-end techniques, allowing replicable evaluation of new advancements. It will also help newcomers in the field by lowering the "barrier to entry," enabling them to quickly build baseline systems for their experiments. Although the focus of this toolbox is on speaker recognition, it can also be used for other speech related applications such as language, dialect, and accent identification. Additionally, it provides many of the functionalities available in other open-source speaker recognition toolkits (e.g., ALIZEread more
Citations
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Proceedings ArticleDOI
GMM-UBM based Person Verification using footfall signatures for Smart Home Applications
TL;DR: A novel person verification system based on footfall signatures using Gaussian Mixture Model-Universal Background Model (GMM-UBM) and achieved an overall performance gain of ~46% and ~33% over Support Vector Machine (SVM) and Convolution Neural Network (CNN) based techniques respectively.
Journal ArticleDOI
Privacy-preserving speaker verification system based on binary I-vectors
Proceedings ArticleDOI
Feasibility of Identity Vectors for use as subject verification and cohort retrieval of electroencephalograms
Christian R. Ward,Iyad Obeid +1 more
TL;DR: The results of this work indicate that Identity Vectors can be effective at distinguishing between subjects and show promise when asked to generate cohorts of related data.
Journal ArticleDOI
A robust polynomial regression-based voice activity detector for speaker verification
TL;DR: A second-order polynomial regression-based algorithm is proposed with a similar function as a VAD for text-independent speaker verification systems, which showed superior verification performance both with the conventional GMM-UBM method, and the state-of-the-art i-vector method.
Journal ArticleDOI
Vocal Tract Length Normalization using a Gaussian mixture model framework for query-by-example spoken term detection
TL;DR: The use of a Gaussian Mixture Model (GMM) framework for VTLN warping factor estimation is presented and the effectiveness of the proposed VTL-warped GP is presented to rescore using various detection sources, such as depth of detection valley, Self-Similarity Matrix, Pseudo Relevance Feedback and weighted mean features.
References
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TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
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Speaker Verification Using Adapted Gaussian Mixture Models
TL;DR: The major elements of MIT Lincoln Laboratory's Gaussian mixture model (GMM)-based speaker verification system used successfully in several NIST Speaker Recognition Evaluations (SREs) are described.
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Front-End Factor Analysis for Speaker Verification
TL;DR: An extension of the previous work which proposes a new speaker representation for speaker verification, a new low-dimensional speaker- and channel-dependent space is defined using a simple factor analysis, named the total variability space because it models both speaker and channel variabilities.
Proceedings ArticleDOI
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