A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
Support vector machines using GMM supervectors for speaker verification
Gaussian mixture models (GMMs) have proven extremely successful for text-independent
speaker recognition. The standard training method for GMM models is to use MAP …
speaker recognition. The standard training method for GMM models is to use MAP …
[PDF][PDF] Language recognition via i-Vectors and dimensionality reduction.
In this paper, a new language identification system is presented based on the total variability
approach previously developed in the field of speaker identification. Various techniques are …
approach previously developed in the field of speaker identification. Various techniques are …
[BOOK][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 …
into one that best characterizes the target speaker's vocal tract characteristics. Depending …
[PDF][PDF] Within-class covariance normalization for SVM-based speaker recognition.
This paper extends the within-class covariance normalization (WCCN) technique described
in [1, 2] for training generalized linear kernels. We describe a practical procedure for …
in [1, 2] for training generalized linear kernels. We describe a practical procedure for …
An overview of statistical pattern recognition techniques for speaker verification
Even though the subject of speaker verification has been investigated for several decades,
numerous challenges and new opportunities in robust recognition techniques are still being …
numerous challenges and new opportunities in robust recognition techniques are still being …
Advances in channel compensation for SVM speaker recognition
A Solomonoff, WM Campbell… - … .(ICASSP'05). IEEE …, 2005 - ieeexplore.ieee.org
Cross-channel degradation is one of the significant challenges facing speaker recognition
systems. We study the problem for speaker recognition using support vector machines …
systems. We study the problem for speaker recognition using support vector machines …
Automatic speaker, age-group and gender identification from children's speech
A speech signal contains important paralinguistic information, such as the identity, age,
gender, language, accent, and the emotional state of the speaker. Automatic recognition of …
gender, language, accent, and the emotional state of the speaker. Automatic recognition of …
[PDF][PDF] Variational domain adversarial learning for speaker verification.
Abstract Domain mismatch refers to the problem in which the distribution of training data
differs from that of the test data. This paper proposes a variational domain adversarial neural …
differs from that of the test data. This paper proposes a variational domain adversarial neural …
Measuring, refining and calibrating speaker and language information extracted from speech
N Brummer - 2010 - scholar.sun.ac.za
We propose a new methodology, based on proper scoring rules, for the evaluation of the
goodness of pattern recognizers with probabilistic outputs. The recognizers of interest take …
goodness of pattern recognizers with probabilistic outputs. The recognizers of interest take …