Results 31 to 40 of about 16,736,389 (319)
, 2017 Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
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On the Use of Fisher Vector Encoding for Voice Spoofing Detection
Proceedings, 2019 Recently, the vulnerability of automatic speaker recognition systems to spoofing attacks has received significant interest among researchers. A robust speaker recognition system demands not only high recognition accuracy but also robustness to spoofing ...
Jahangir Alam
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Improved i-Vector Representation for Speaker Diarization [PDF]
Circuits, Systems, and Signal Processing, 2015 This paper proposes using a previously well-trained deep neural network (DNN) to enhance the i-vector representation used for speaker diarization. In effect, we replace the Gaussian Mixture Model (GMM) typically used to train a Universal Background Model (UBM), with a DNN that has been trained using a different large scale dataset.
Yan Xu 0008 +3 more
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, 2018 Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
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i-Vector-Based Speaker Verification on Limited Data Using Fusion Techniques
Journal of Intelligent Systems, 2018 In many biometric applications, limited data speaker verification plays a significant role in practical-oriented systems to verify the speaker. The performance of the speaker verification system needs to be improved by applying suitable techniques to ...
Jayanthi Kumari T.R., Jayanna H.S.
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Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction
IEEE Access, 2019 Even though speaker recognition has gained significant progress in recent years, its performance is known to be deteriorated severely with the existence of strong background noises.
Xingyu Zhang +5 more
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, 2017 Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
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Hybrid Framework for Speaker-Independent Emotion Conversion Using i-Vector PLDA and Neural Network
IEEE Access, 2019 Expressive speech can be synthesized using acoustic feature modeling by mapping the spectral and fundamental frequency parameters between neutral speech and target emotions based on context. Speaker and text-independent emotion conversion are challenging
Susmitha Vekkot +3 more
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, 2016 Vector is the student engineering magazine on campus. Published by the Student Engineering Council, Vector is completely written, managed, and designed by students for students.
University of Texas at Austin
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Speech enhancement ini-vector speaker verification system
上海师范大学学报. 自然科学版, 2016 To solve the model-mismatch problem in text-independent speaker verification system when training environment differs from recognition environment,We propose a i-vector speaker verification system using speech enhancement in front-end preprocessing it ...
LI Xin, LI Wei, YOU Hanxu, ZHU Jie
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