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 …
emphasis on text-independent recognition. Speaker recognition has been studied actively …
Voice disguise in automatic speaker recognition
M Farrús - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Humans are able to identify other people's voices even in voice disguise conditions.
However, we are not immune to all voice changes when trying to identify people from voice …
However, we are not immune to all voice changes when trying to identify people from voice …
A text independent speaker identification system using ANN, RNN, and CNN classification technique
MK Singh - Multimedia Tools and Applications, 2024 - Springer
Convolutional Neural network (CNN) has eclipsed end-to-end speaker identification (SI)
systems in recent years. The enormous training data sets, high computational expenses …
systems in recent years. The enormous training data sets, high computational expenses …
Improved automatic detection of creak
This paper describes a new algorithm for automatically detecting creak in speech signals.
Detection is made by utilising two new acoustic parameters which are designed to …
Detection is made by utilising two new acoustic parameters which are designed to …
Data-driven detection and analysis of the patterns of creaky voice
This paper investigates the temporal excitation patterns of creaky voice. Creaky voice is a
voice quality frequently used as a phrase-boundary marker, but also as a means of …
voice quality frequently used as a phrase-boundary marker, but also as a means of …
Method and an apparatus for onboarding in an IoT network
2018-09-17 Assigned to SAMSUNG ELECTRONICS CO., LTD. reassignment SAMSUNG
ELECTRONICS CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT …
ELECTRONICS CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT …
[PDF][PDF] Speaker Identity and Voice Quality: Modeling Human Responses and Automatic Speaker Recognition.
Despite recent breakthroughs in automatic speaker recognition (ASpR), system performance
still degrades when utterances are short and/or when within-speaker variability is large. This …
still degrades when utterances are short and/or when within-speaker variability is large. This …
[PDF][PDF] Using Voice Quality Features to Improve Short-Utterance, Text-Independent Speaker Verification Systems.
Due to within-speaker variability in phonetic content and/or speaking style, the performance
of automatic speaker verification (ASV) systems degrades especially when the enrollment …
of automatic speaker verification (ASV) systems degrades especially when the enrollment …
Anonymizing speech: Evaluating and designing speaker anonymization techniques
P Champion - arXiv preprint arXiv:2308.04455, 2023 - arxiv.org
The growing use of voice user interfaces has led to a surge in the collection and storage of
speech data. While data collection allows for the development of efficient tools powering …
speech data. While data collection allows for the development of efficient tools powering …
On separating glottal source and vocal tract information in telephony speaker verification
T Kinnunen, P Alku - 2009 IEEE International Conference on …, 2009 - ieeexplore.ieee.org
The popular mel-frequency cepstral coefficients (MFCCs) capture a mixture of speaker-
related, phonemic and channel information. Speaker-related information could be further …
related, phonemic and channel information. Speaker-related information could be further …