Flexible piezoelectric acoustic sensors and machine learning for speech processing

YH Jung, SK Hong, HS Wang, JH Han… - Advanced …, 2020 - Wiley Online Library
Flexible piezoelectric acoustic sensors have been developed to generate multiple sound
signals with high sensitivity, shifting the paradigm of future voice technologies. Speech …

Speaker recognition by machines and humans: A tutorial review

JHL Hansen, T Hasan - IEEE Signal processing magazine, 2015 - ieeexplore.ieee.org
Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

Generalized end-to-end loss for speaker verification

L Wan, Q Wang, A Papir… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss,
which makes the training of speaker verification models more efficient than our previous …

Spoofing and countermeasures for speaker verification: A survey

Z Wu, N Evans, T Kinnunen, J Yamagishi, F Alegre… - speech …, 2015 - Elsevier
While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

A survey of speaker recognition: Fundamental theories, recognition methods and opportunities

MM Kabir, MF Mridha, J Shin, I Jahan, AQ Ohi - IEEE Access, 2021 - ieeexplore.ieee.org
Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

An overview of text-independent speaker recognition: From features to supervectors

T Kinnunen, H Li - Speech communication, 2010 - Elsevier
This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

[图书][B] Speaker recognition

H Beigi, H Beigi - 2011 - Springer
The objective of the enrollment process is to modify (adapt) a speaker-independent model
into one that best characterizes the target speaker's vocal tract characteristics. Depending …

You are how you touch: User verification on smartphones via tapping behaviors

N Zheng, K Bai, H Huang… - 2014 IEEE 22nd …, 2014 - ieeexplore.ieee.org
Smartphone users have their own unique behavioral patterns when tapping on the touch
screens. These personal patterns are reflected on the different rhythm, strength, and angle …

Method apparatus and system for capturing and analyzing interaction based content

I Freedman, Y Dolev, T Falik, O Pereg… - US Patent …, 2011 - Google Patents
The present invention provides a method and apparatus (100) for capturing and analyzing
customer interactions, the appa ratus comprising a multi-segment interaction capture device …

An overview of speaker identification: Accuracy and robustness issues

R Togneri, D Pullella - IEEE circuits and systems magazine, 2011 - ieeexplore.ieee.org
This paper presents the main paradigms for speaker identification, and recent work on
missing data methods to increase robustness. The feature extraction, speaker modeling and …