Single channel multi-talker speech separation with deep learning
The objective of speech separation is to divide a mixture signal, i.e., multiple speakers with background noise, into a set of individual streams, where each stream only contains a single speaker's voice. The study of speech separation is important as the performance of speech applications degr...
Saved in:
Main Author: | Xu, Chenglin |
---|---|
Other Authors: | Chng Eng Siong |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/143903 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Multi-channel speech separation by eigen-decomposition
by: Tan, Yong Boon.
Published: (2008) -
Deep learning-based video forgery detection
by: Cao, Xinyi
Published: (2022) -
Deep learning techniques for hate speech detection
by: Lee, Yuan Cheng
Published: (2023) -
Deep-learning for conversational speech using semantic textual analysis
by: Suthakar, Shiny Gladdys
Published: (2022) -
Deep learning for fusing speech and text for detection of Alzheimer’s Disease
by: Tan, Jun Xian
Published: (2022)