Speech recognition and synthesis
The recent advances in text-to-speech have been awe-inspiring, to the point of synthesizing near-human speeches. To achieve this, deep-neural networks are trained using different sound clips of a single speaker. However, traditional text-to-speech systems require a whole new dataset to produce the v...
Saved in:
Main Author: | Kang, Yi Da |
---|---|
Other Authors: | Tan Yap Peng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167681 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Aiding therapy using speech emotion recognition
by: Koh, En Rong
Published: (2021) -
Generative models for speech emotion synthesis
by: Raj, Nathanael S.
Published: (2019) -
Enhancing spoken language identification and diarization for multilingual speech
by: Liu, Hexin
Published: (2023) -
Emotion analysis from speech
by: Mus'ifah Amran
Published: (2021) -
Deep learning techniques for hate speech detection
by: Lee, Yuan Cheng
Published: (2023)