The CORAL+ algorithm for unsupervised domain adaptation of PLDA
State-of-the-art speaker recognition systems comprise an x-vector (or i-vector) speaker
embedding front-end followed by a probabilistic linear discriminant analysis (PLDA) …
embedding front-end followed by a probabilistic linear discriminant analysis (PLDA) …
Multi-level deep neural network adaptation for speaker verification using MMD and consistency regularization
Adapting speaker verification (SV) systems to a new environment is a very challenging task.
Current adaptation methods in SV mainly focus on the backend, ie, adaptation is carried out …
Current adaptation methods in SV mainly focus on the backend, ie, adaptation is carried out …
Multisource i-vectors domain adaptation using maximum mean discrepancy based autoencoders
Like many machine learning tasks, the performance of speaker verification (SV) systems
degrades when training and test data come from very different distributions. What's more …
degrades when training and test data come from very different distributions. What's more …
An investigation of domain adaptation in speaker embedding space for speaker recognition
Speaker recognition continues to grow as a research challenge in the field with expanded
application in commercial, forensic, educational and general speech technology interfaces …
application in commercial, forensic, educational and general speech technology interfaces …
Assessing child communication engagement and statistical speech patterns for American English via speech recognition in naturalistic active learning spaces
R Lileikyte, D Irvin, JHL Hansen - Speech Communication, 2022 - Elsevier
Assessing child growth in terms of speech and language development is a critical indicator
of long term learning ability and life-long development progress. The earlier a child who is at …
of long term learning ability and life-long development progress. The earlier a child who is at …
UTD-CRSS systems for 2018 NIST speaker recognition evaluation
In this study, we present systems submitted by the Center for Robust Speech Systems
(CRSS) from UTDallas to NIST SRE 2018 (SRE18). Three alternative front-end speaker …
(CRSS) from UTDallas to NIST SRE 2018 (SRE18). Three alternative front-end speaker …
A framework for adapting DNN speaker embedding across languages
Language mismatch remains a major hindrance to the extensive deployment of speaker
verification (SV) systems. Current language adaptation methods in SV mainly rely on linear …
verification (SV) systems. Current language adaptation methods in SV mainly rely on linear …
A generalized framework for domain adaptation of plda in speaker recognition
This paper proposes a generalized framework for domain adaptation of Probabilistic Linear
Discriminant Analysis (PLDA) in speaker recognition. It not only includes several existing …
Discriminant Analysis (PLDA) in speaker recognition. It not only includes several existing …
Generative x-vectors for text-independent speaker verification
Speaker verification (SV) systems using deep neural network embeddings, so-called the x-
vector systems, are becoming popular due to its good performance superior to the i-vector …
vector systems, are becoming popular due to its good performance superior to the i-vector …
I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition
evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the …
evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the …