Results 281 to 290 of about 16,736,389 (319)

Application of i-vector in speech and music classification

2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2016
This paper proposes a speech/music classification system based on i-vector. An analysis of two classification methods, namely cosine distance score (CDS) and support vector machine (SVM) is performed. Two session compensation methods, within-class covariance normalization (WCCN) and linear discriminant analysis (LDA) are also discussed. The performance
Hao Zhang 0109, Xu-Kui Yang 0001, Wei-Qiang Zhang 0001, Wen-Lin Zhang, Jia Liu 0001   +4 more
openaire   +1 more source

I-vectors for image classification

SPIE Proceedings, 2014
ABSTRACT Recent state-of-the-art work on speaker recognition and veri cation uses a simple factor analysis to derive alow-dimensional \total variability space" which simultaneously captures speaker and channel variability. Thisapproach simpli ed earlier work using joint factor analysis to separately model speaker and channel di erences.Here we adapt ...
openaire   +1 more source

i-Vectors in speech processing applications: a survey

International Journal of Speech Technology, 2015
In the domain of speech recognition many methods have been proposed over time like Gaussian mixture models (GMM), GMM with universal background model (GMM-UBM framework), joint factor analysis, etc. i-Vector subspace modeling is one of the recent methods that has become the state of the art technique in this domain.
Pulkit Verma 0001, Pradip K. Das
openaire   +1 more source

Emotional speaker verification based on i-vectors

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 2014
Recently i-vectors approach in speaker verification become very successful and popular. The i-vectors principle is based on representation of each utterance by low-dimensional feature vector of fixed length. In this experiment for purposes of speaker recognition emotional speech database was applied. Using the i-vector principle two concepts of speaker
Lenka Macková, Anton Cizmár
openaire   +1 more source

Supervised I-vector Modeling - Theory and Applications

Interspeech 2018, 2018
Over the last decade, the factor analysis based modeling of a variable length speech utterance into a fixed dimensional vector (termed as i-vector) has been prominently used for many tasks like speaker recognition, language recognition and even in speech recognition.
Shreyas Ramoji, Sriram Ganapathy
openaire   +1 more source

Source-specific informative prior for i-vector extraction

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
An i-vector is a low-dimensional fixed-length representation of a variable-length speech utterance, and is defined as the posterior mean of a latent variable conditioned on the observed feature sequence of an utterance. The assumption is that the prior for the latent variable is non-informative, since for homogeneous datasets there is no gain in ...
Sven Ewan Shepstone, Kong-Aik Lee, Haizhou Li 0001, Zheng-Hua Tan, Søren Holdt Jensen   +4 more
openaire   +1 more source

A new I-vector topology generated by a fuzzy norm

Fuzzy Sets and Systems, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guo-Hua Xu, Jin-xuan Fang
openaire   +1 more source

Vector in the 1960s

2016
Managing the Partners in Strategic Alliances is a volume in the book series Research in Strategic Alliances that focuses on providing a robust and comprehensive forum for new scholarship in the field of strategic alliances. In particular, the books in the series cover new views of interdisciplinary theoretical frameworks and models, significant ...
openaire   +1 more source

Emotion recognition in i-vector space

2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA), 2016
Emotions in speech are the key to the fluent human communication. The investigation of emotions in speech has been reported in many different studies. Thus the scope of this article is dedicated to the emotion recognition from speech signal. To find out the best recognition performance of used system, different cepstral coefficient were extracted from ...
Lenka Mackova, Anton Cizmar, Jozef Juhar
openaire   +1 more source

Vector in the 1990s

2016
Managing the Partners in Strategic Alliances is a volume in the book series Research in Strategic Alliances that focuses on providing a robust and comprehensive forum for new scholarship in the field of strategic alliances. In particular, the books in the series cover new views of interdisciplinary theoretical frameworks and models, significant ...
openaire   +1 more source