Recognizing sound-event by machine learning
Environmental sounds provide important context to events. Environmental sound recognition is made possible by developments in computing and statistics. One chief method of analyzing sound events is via the spectrogram. Multiple feature extraction techniques exist, however not all of them are suit...
Saved in:
Main Author: | Athaariq Ramadino |
---|---|
Other Authors: | Jiang Xudong |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136924 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Input features for deep learning-based polyphonic sound event localization and detection
by: Nguyen, Thi Ngoc Tho
Published: (2023) -
Recognizing EEG signals for brain-computer interface based on machine learning
by: Liu, Chang
Published: (2019) -
Classification of sound using machine learning
by: Tan, Ki In
Published: (2023) -
EEG-based mental workload analysis for multitasking testing and training systems
by: Lim, Wei Lun
Published: (2020) -
Sound event recognition in unstructured environments using spectrogram image processing
by: Dennis, Jonathan William
Published: (2014)