Results 221 to 230 of about 3,069 (260)

Deep feature for text-dependent speaker verification

Speech Communication, 2015
Abstract 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 ...
Yanmin Qian, Ya Zhang, Kai Yu
exaly   +2 more sources

Text-dependent speaker verification system: A review

2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), 2015
This 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
exaly   +2 more sources

Covariance Based Deep Feature for Text-Dependent Speaker Verification

Lecture Notes in Computer Science, 2018
d-vector approach achieved impressive results in speaker verification. Representation is obtained at utterance level by calculating the mean of the frame level outputs of a hidden layer of the DNN. Although mean based speaker identity representation has achieved good performance, it ignores the variability of frames across the whole utterance, which ...
Yanmin Qian, Kai Yu, Shuai Wang
exaly   +2 more sources

Robust Methods for Text-Dependent Speaker Verification

Circuits, Systems, and Signal Processing, 2019
In 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, S. R. Mahadeva Prasanna, Biswajit Dev Sarma   +2 more
openaire   +2 more sources

Gradient Surgery for Text-Dependent Speaker Verification: A Preliminary Study

2022 13th International Conference on Information and Communication Technology Convergence (ICTC), 2022
Sunghyun Yoon, Dong Sub Kim
exaly   +2 more sources

Incorporating pass-phrase dependent background models for text-dependent speaker verification [PDF]

Computer Speech and Language, 2018
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 Kumar Sarkar
exaly   +2 more sources

Domain adaptation for text dependent speaker verification

Interspeech 2014, 2014
Recently 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
openaire   +1 more source

Processing degraded speech for text dependent speaker verification

International Journal of Speech Technology, 2017
This 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, Ramesh K. Bhukya, S. R. Mahadeva Prasanna   +2 more
openaire   +1 more source

Text-dependent speaker verification using data fusion

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
A new system is presented for text-dependent speaker verification. The system uses data fusion concepts to combine the results of distortion-based and discriminant-based classifiers. Hence, both intraspeaker and interspeaker information are utilized in the final decision.
openaire   +1 more source

Implementation of text dependent speaker verification on MATLAB

2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), 2015
Speech signal carries the information about the linguistic message. Speaker-specific information is also contained in speech signal. No two peoples voice are exactly alike because voice has fingerprint qualities. It is generated by acoustically exciting the cavities of the mouth and nose, and can be used to recognize (identify/verify) a person.
Gurpreet Kaur, Naresh Kumar, Ravinder Khanna, Amod Kumar   +3 more
openaire   +1 more source