全部文献期刊会议图书|学者科研项目
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作者:Yuan Liu , Yanmin Qian , Nanxin Chen ...
来源:[J].Speech Communication(IF 1.283), 2015, Vol.73, pp.1-13
摘要:... 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 verification. In contrast to the traditional short-term spectral feature, such as MFCC or PLP, in...
作者:Subhadeep Dey , Petr Motlicek , Srikanth Madikeri ...
来源:[J].Speech Communication(IF 1.283), 2017, Vol.88, pp.96-105
摘要:... For text-dependent speaker verification, DNN-based systems have considerably outperformed GMM for fixed-phrase tasks. However, both approaches ignore phone sequence information. In this paper, we aim at exploiting this information by using Dynamic Time Warping (DTW) with spea...
作者:Hossein Zeinali , Hossein Sameti , Lukáš Burget ...
来源:[J].Computer Speech & Language(IF 1.463), 2017, Vol.46, pp.53-71
摘要:Abstract(#br)Inspired by the success of Deep Neural Networks (DNN) in text-independent speaker recognition, we have recently demonstrated that similar ideas can also be applied to the text-dependent speaker verification task. In this paper, we describe new advances with our state...
作者:Achintya Kumar Sarkar , Zheng-Hua Tan
来源:[J].Computer Speech & Language(IF 1.463), 2018, Vol.47, pp.259-271
摘要:Abstract(#br)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-independent backgroun...
作者:Victoria Mingote , Antonio Miguel , Alfonso Ortega ...
来源:[J].Computer Speech & Language(IF 1.463), 2020, Vol.63
摘要:Abstract(#br)This paper explores two techniques to improve the performance of text-dependent speaker verification systems based on deep neural networks. Firstly, we propose a general alignment mechanism to keep the temporal structure of each phrase and obtain a supervector with t...
作者:Anthony Larcher , Kong Aik Lee , Bin Ma ...
来源:[J].Speech Communication(IF 1.283), 2014, Vol.60, pp.56-77
摘要:Abstract(#br)The RSR2015 database, designed to evaluate text-dependent speaker verification systems under different durations and lexical constraints has been collected and released by the Human Language Technology (HLT) department at Institute for Infocomm Research (I 2 R) in Si...
作者:Jakub Gałka , Marcin Grzywacz , Rafał Samborski
来源:[J].Speech Communication(IF 1.283), 2015, Vol.67, pp.143-153
摘要:... This paper features a description of the playback attack detection (PAD) algorithm, designed to protect text-dependent speaker verification systems from the aforementioned spoofing attacks. The paper also describes the usage of spectral landmarks and score normalization metho...
作者:Mohammad Azharuddin Laskar , Rabul Hussain Laskar
来源:[J].Arabian Journal for Science and Engineering, 2019, Vol.44 (11), pp.9703-9718
摘要:... Working in the same direction, this study attempts optimization of filterbank design for text-dependent speaker verification. Motivated by the success of evolutionary computations in the related fields, an evolutionary algorithm is used to carry out this optimization process....
作者:Mohammad Azharuddin Laskar , Rabul Hussain Laskar
来源:[J].Circuits, Systems, and Signal Processing(IF 0.982), 2019, Vol.38 (8), pp.3548-3572
摘要:Abstract(#br)Subspace techniques, such as i-vector/probabilistic linear discriminant analysis and joint factor analysis, have been the most commonly used techniques in the field of text-dependent speaker verification. These techniques, however, do not model the temporal stru...
作者:J.I. Godino-Llorente , Rubén Fraile , N. Sáenz-Lechón ...
来源:[J].Biomedical Signal Processing and Control(IF 1.074), 2009, Vol.4 (3), pp.176-182
摘要:... In this paper it is proposed a new scheme for the detection of voice impairments from text-dependent running speech. The proposed methodology is based on the segmentation of speech into voiced and non-voiced frames, parameterising each voiced frame with mel-frequency cepstra...

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