11 search results - page 1 / 3 » Discriminatively trained Probabilistic Linear Discriminant A... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We describe recent progress in the field of prosodic modeling for speaker verification. In a previous paper, we proposed a technique for modeling syllable-based prosodic feature...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we describe recent progress in i-vector based speaker verification. The use of universal background models (UBM) with full-covariance matrices is suggested and tho...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a nov...