11 search results - page 1 / 3 » Discriminatively trained Probabilistic Linear Discriminant A... |
ICASSP
2011
IEEE
12 years 8 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 8 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 8 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 8 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 4 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...