Speaker identification features extraction methods: A systematic review
SS Tirumala, SR Shahamiri, AS Garhwal… - Expert Systems with …, 2017 - Elsevier
Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …
comparing the voice biometrics of the utterance with those utterance models stored …
Speaker recognition from whispered speech: A tutorial survey and an application of time-varying linear prediction
From the available biometric technologies, automatic speaker recognition is one of the most
convenient and accessible ones due to abundance of mobile devices equipped with a …
convenient and accessible ones due to abundance of mobile devices equipped with a …
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Whispered speech, as an alternative speaking style for normal phonated (non-whispered)
speech, has received little attention in speech emotion recognition. Currently, speech …
speech, has received little attention in speech emotion recognition. Currently, speech …
A review on feature extraction for speaker recognition under degraded conditions
Speech is a signal that includes speaker's emotion, characteristic specification, phoneme-
information etc. Various methods have been proposed for speaker recognition by extracting …
information etc. Various methods have been proposed for speaker recognition by extracting …
On the issues of intra-speaker variability and realism in speech, speaker, and language recognition tasks
JHL Hansen, H Bořil - Speech Communication, 2018 - Elsevier
Recent years have witnessed notable advancements in the areas of speech, speaker and
language/dialect recognition. However, many of the emerging scientific principles appear to …
language/dialect recognition. However, many of the emerging scientific principles appear to …
The effects of whispered speech on state-of-the-art voice based biometrics systems
M Sarria-Paja, M Senoussaoui… - 2015 IEEE 28th …, 2015 - ieeexplore.ieee.org
In this paper, automatic speaker verification using whispered speech is explored. In the past,
whispered speech has been shown to convey relevant speaker identity and gender …
whispered speech has been shown to convey relevant speaker identity and gender …
Fusion of auditory inspired amplitude modulation spectrum and cepstral features for whispered and normal speech speaker verification
M Sarria-Paja, TH Falk - Computer Speech & Language, 2017 - Elsevier
Whispered speech is a natural speaking style that despite its reduced perceptibility, still
contains relevant information regarding the intended message (ie, intelligibility), as well as …
contains relevant information regarding the intended message (ie, intelligibility), as well as …
Generative modeling of pseudo-whisper for robust whispered speech recognition
S Ghaffarzadegan, H Bořil… - IEEE/ACM Transactions …, 2016 - ieeexplore.ieee.org
Whisper is a common means of communication used to avoid disturbing individuals or to
exchange private information. As a vocal style, whisper would be an ideal candidate for …
exchange private information. As a vocal style, whisper would be an ideal candidate for …
Analysis and calibration of Lombard effect and whisper for speaker recognition
F Kelly, JHL Hansen - IEEE/ACM transactions on audio, speech …, 2021 - ieeexplore.ieee.org
Variations in vocal effort can create challenges for speaker recognition systems that are
optimized for use with neutral speech. The Lombard effect and whisper are two commonly …
optimized for use with neutral speech. The Lombard effect and whisper are two commonly …
UT-VOCAL EFFORT II: Analysis and constrained-lexicon recognition of whispered speech
S Ghaffarzadegan, H Bořil… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
This study focuses on acoustic variations in speech introduced by whispering, and proposes
several strategies to improve robustness of automatic speech recognition of whispered …
several strategies to improve robustness of automatic speech recognition of whispered …