Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Mar 6, 2017 · Abstract: Speaker identification is an important topic with relevance to various disciplines. This paper proposes a novel speaker ...
People also ask
Abstract— Speaker identification is an important topic with rel- evance to various disciplines. This paper proposes a novel speaker.
The sparse representation of acoustic features such as I-vector features, GMM-UBM features tensor features, MFCCs, and mean super vectors for speaker ...
Speaker identification is an important topic with relevance to various disciplines. This paper proposes a novel speaker identification system, ...
In this paper, the problem of text-independent speaker identification is studied in light of classification based on sparsity representation combined with a ...
Jan 29, 2021 · In this study, we propose a latent discriminative representation learning method for speaker recognition. We mean that the learned ...
Speaker verification using sparse representation classifica- tion. In Proc. Int. Conf. on Acoustics, Speech, and Signal. Processing (ICASSP 2011), pages 4548 ...
Sparse representation-based methods have very lately shown promise for speaker recognition systems. This paper investigates and develops an i-vector based ...
We address the closed-set problem of speaker iden- tification by presenting a novel sparse representation classification algorithm. We propose to develop an.
Fig. 1 Comparison between (a) SVM and (b) SRC for a two-class problem (class 0 and class 1) where '+' and. '*' correspond to the training set instances for ...