[PDF][PDF] Deep neural network embeddings for text-independent speaker verification.
This paper investigates replacing i-vectors for text-independent speaker verification with
embeddings extracted from a feedforward deep neural network. Long-term speaker …
embeddings extracted from a feedforward deep neural network. Long-term speaker …
Deep neural network-based speaker embeddings for end-to-end speaker verification
In this study, we investigate an end-to-end text-independent speaker verification system. The
architecture consists of a deep neural network that takes a variable length speech segment …
architecture consists of a deep neural network that takes a variable length speech segment …
Speaker diarization using deep neural network embeddings
Speaker diarization is an important front-end for many speech technologies in the presence
of multiple speakers, but current methods that employ i-vector clustering for short segments …
of multiple speakers, but current methods that employ i-vector clustering for short segments …
State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and speakers in the wild evaluations
We present a thorough analysis of the systems developed by the JHU-MIT consortium in the
context of NIST speaker recognition evaluation 2018. In the previous NIST evaluation, in …
context of NIST speaker recognition evaluation 2018. In the previous NIST evaluation, in …
Analyzing noise robustness of MFCC and GFCC features in speaker identification
Automatic speaker recognition can achieve a high level of performance in matched training
and testing conditions. However, such performance drops significantly in mismatched noisy …
and testing conditions. However, such performance drops significantly in mismatched noisy …
Deep feature for text-dependent speaker verification
Recently deep learning has been successfully used in speech recognition, however it has
not been carefully explored and widely accepted for speaker verification. To incorporate …
not been carefully explored and widely accepted for speaker verification. To incorporate …
[PDF][PDF] Language recognition in ivectors space
The concept of so called iVectors, where each utterance is represented by fixed-length low-
dimensional feature vector, has recently become very successfully in speaker verification. In …
dimensional feature vector, has recently become very successfully in speaker verification. In …
PLDA for speaker verification with utterances of arbitrary duration
P Kenny, T Stafylakis, P Ouellet… - … , Speech and Signal …, 2013 - ieeexplore.ieee.org
The duration of speech segments has traditionally been controlled in the NIST speaker
recognition evaluations so that researchers working in this framework have been relieved of …
recognition evaluations so that researchers working in this framework have been relieved of …
PLDA based speaker recognition on short utterances
This paper investigates the effects of limited speech data in the context of speaker
verification using a probabilistic linear discriminant analysis (PLDA) approach. Being able to …
verification using a probabilistic linear discriminant analysis (PLDA) approach. Being able to …
Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification
The residual neural networks (ResNet) demonstrate the impressive performance in
automatic speaker verification (ASV). They treat the time and frequency dimensions equally …
automatic speaker verification (ASV). They treat the time and frequency dimensions equally …