Mood recognition through vocal prosody recognition
Mood recognition through vocal prosody recognition is designed to predict human‟s mood through speeches profiles. There are existing applications in vocal prosody such as Microsoft‟s “Speech to Text”, IOS‟s “Siri” and Andriod‟s “S Voice” that they are executing actions which are ordered by users but...
Saved in:
Main Author: | Wong, Yi Ben. |
---|---|
Other Authors: | Seet Gim Lee, Gerald |
Format: | Final Year Project |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/53290 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Mood recognition through facial expression and speech cues
by: Tan, Jonathan Tian-Ci
Published: (2014) -
Object recognition and tracking for quadrotor in a dynamic environment
by: Lim, Benjamin Zhen Wei
Published: (2020) -
Extracting vocal from a music file for singer recognition
by: Tien, Andrew Zhang Yi.
Published: (2011) -
Realization of desktop 3D printer through micromachined active pump matrix
by: Gong, Thomas Haiqing.
Published: (2008) -
Fabrication of vascularized hydrogel construct through 3D printing
by: Neo, Frederik Wang Huang
Published: (2018)