4 papers
Encoder-decoder multimodal speaker change detection
Jee-weon Jung, Soonshin Seo, Hee-Soo Heo +5
The task of speaker change detection (SCD), which detects points where speakers change in an input, is essential for several applications. Several studies solved the SCD task using…
Blank Collapse: Compressing CTC emission for the faster decoding
Minkyu Jung, Ohhyeok Kwon, Seunghyun Seo +1
Connectionist Temporal Classification (CTC) model is a very efficient method for modeling sequences, especially for speech data. In order to use CTC model as an Automatic Speech Re…
Self-Attentive Multi-Layer Aggregation with Feature Recalibration and Normalization for End-to-End Speaker Verification System
Soonshin Seo, Ji-Hwan Kim
One of the most important parts of an end-to-end speaker verification system is the speaker embedding generation. In our previous paper, we reported that shortcut connections-based…
MCSAE: Masked Cross Self-Attentive Encoding for Speaker Embedding
Soonshin Seo, Ji-Hwan Kim
In general, a self-attention mechanism has been applied for speaker embedding encoding. Previous studies focused on training the self-attention in a high-level layer, such as the l…