Speaker recognition based on deep learning: An overview
Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …
learning has dramatically revolutionized speaker recognition. However, there is lack of …
A Novel DBSCAN Clustering Algorithm via Edge Computing‐Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data
H Liu, Y Liu, Z Qin, R Zhang, Z Zhang… - … and Mobile Computing, 2021 - Wiley Online Library
Big data technology has been developed rapidly in recent years. The performance
improvement mechanism of targeted poverty alleviation is studied through the big data …
improvement mechanism of targeted poverty alleviation is studied through the big data …
Lightweight speaker recognition in poincaré spaces
J Lee, K Sung-Bin, S Kang… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
This letter proposes a lightweight model for speaker recognition by leveraging a hyperbolic
space. The speaker recognition performance heavily depends on the distinctiveness of …
space. The speaker recognition performance heavily depends on the distinctiveness of …
[PDF][PDF] Multi-Task Discriminative Training of Hybrid DNN-TVM Model for Speaker Verification with Noisy and Far-Field Speech.
The paper aims to address the task of speaker verification with single-channel, noisy and far-
field speech by learning an embedding or feature representation that is invariant to different …
field speech by learning an embedding or feature representation that is invariant to different …
[PDF][PDF] The Second DIHARD Challenge: System Description for USC-SAIL Team.
In this paper, we describe components that form a part of USCSAIL team's submissions to
Track 1 and Track 2 of the second DIHARD speaker diarization challenge. We describe …
Track 1 and Track 2 of the second DIHARD speaker diarization challenge. We describe …
[HTML][HTML] Task-driven variability model for speaker verification
C Chen, J Han - Circuits, Systems, and Signal Processing, 2020 - Springer
The total variability model (TVM)/probabilistic linear discriminant analysis (PLDA) framework
is one of the most popular methods for speaker verification. In this framework, the i-vector …
is one of the most popular methods for speaker verification. In this framework, the i-vector …