research
∙
10/29/2020
T-vectors: Weakly Supervised Speaker Identification Using Hierarchical Transformer Model
Identifying multiple speakers without knowing where a speaker's voice is...
share
research
∙
10/22/2020
Towards Low-Resource StarGAN Voice Conversion using Weight Adaptive Instance Normalization
Many-to-many voice conversion with non-parallel training data has seen s...
research
∙
05/15/2020
Speaker Re-identification with Speaker Dependent Speech Enhancement
While the use of deep neural networks has significantly boosted speaker ...
research
∙
05/15/2020
Weakly Supervised Training of Hierarchical Attention Networks for Speaker Identification
Identifying multiple speakers without knowing where a speaker's voice is...
research
∙
01/14/2020
Supervised Speaker Embedding De-Mixing in Two-Speaker Environment
In this work, a speaker embedding de-mixing approach is proposed. Instea...
research
∙
01/14/2020
Robust Speaker Recognition Using Speech Enhancement And Attention Model
In this paper, a novel architecture for speaker recognition is proposed ...
research
∙
10/17/2019
H-VECTORS: Utterance-level Speaker Embedding Using A Hierarchical Attention Model
In this paper, a hierarchical attention network to generate utterance-le...
research
∙
10/16/2019
Contextual Joint Factor Acoustic Embeddings
Embedding acoustic information into fixed length representations is of i...
research
∙
09/24/2019
