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Template-Matching for Text-Dependent Speaker Verification [PDF]
In the last decade, i-vector and Joint Factor Analysis (JFA) approaches to speaker modeling have become ubiquitous in the area of automatic speaker recognition. Both of these techniques involve the computation of posterior probabilities, using either Gaussian Mixture Models (GMM) or Deep Neural Networks (DNN), as a prior step to estimating i-vectors or
Petr Motlíček +2 more
exaly +8 more sources
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Deep Feature for Text-Dependent Speaker Verification
Speech Communication, 2015Abstract Recently deep learning has been successfully used in speech recognition, however it has not been carefully explored and widely accepted for speaker verification. To incorporate deep learning into speaker verification, this paper proposes novel approaches of extracting and using features from deep learning models for text-dependent speaker ...
Nanxin Chen, Yanmin Qian, Ya Zhang
exaly +3 more sources
Deep Neural Networks for Small Footprint Text-Dependent Speaker Verification
In this paper we investigate the use of deep neural networks (DNNs) for a small footprint text-dependent speaker verification task. At de-velopment stage, a DNN is trained to classify speakers at the frame-level.
Erik McDermott, Ignacio Lopez Moreno
exaly +2 more sources
End-to-End Text-Dependent Speaker Verification [PDF]
In this paper we present a data-driven, integrated approach to speaker verification, which maps a test utterance and a few reference utterances directly to a single score for verification and jointly optimizes the system's components using the same evaluation protocol and metric as at test time.
Georg Heigold
exaly +3 more sources
Incorporating Pass-Phrase Dependent Background Models for Text-Dependent Speaker Verification
In this paper, we propose pass-phrase dependent background models (PBMs) for text-dependent (TD) speaker verification (SV) to integrate the pass-phrase identification process into the conventional TD-SV system, where a PBM is derived from a text ...
Zheng-Hua Tan, Achintya Kr Sarkar
exaly +2 more sources
Robust Methods for Text-Dependent Speaker Verification
Circuits, Systems, and Signal Processing, 2019In this work, we explore various noise robust techniques at different stages of a Text-Dependent Speaker Verification (TDSV) system. A speech-specific knowledge-based robust end points detection technique is used for noise compensation at signal level.
Ramesh K. Bhukya +2 more
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Domain adaptation for text dependent speaker verification
Interspeech 2014, 2014Recently we have investigated the use of state-of-the-art textdependent speaker verification algorithms for user authentication and obtained satisfactory results mainly by using a fair amount of text-dependent development data from the target domain. In this work we investigate the ability to build high accuracy text-dependent systems using no data at ...
Hagai Aronowitz, Asaf Rendel
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Text-Dependent Speaker Verification System: A Review
2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), 2015This paper presents an overview of text dependent speaker verification system (SVS). There are several methods of text dependent speaker verification. Here we give brief introduction on text dependent speaker verification and then discuss the structure of several previous works.
Saswati Debnath
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Processing degraded speech for text dependent speaker verification
International Journal of Speech Technology, 2017This work explores the use of speech enhancement for enhancing degraded speech which may be useful for text dependent speaker verification system. The degradation may be due to noise or background speech. The text dependent speaker verification is based on the dynamic time warping (DTW) method. Hence there is a necessity of the end point detection. The
Banriskhem K. Khonglah +2 more
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