Improved noise robust automatic speech recognition system with spectral subtraction and minimum statistics algorithm implemented in FPGA
In this study, spectral subtraction speech enhancement is integrated to a two word vocabulary speech recognition system to effectively reduce the effects of background noise and increase the recognition rate. The whole system was implemented in FPGA and was modelled in MATLAB. The preprocessing subs...
Saved in:
Main Authors: | Orillo, John William, Yap, Roderick, Sybingco, Edwin |
---|---|
Format: | text |
Published: |
Animo Repository
2012
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/501 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1500/type/native/viewcontent |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Implementing a statistical method for automatic speech recognition
by: Gochuico, Stephany, et al.
Published: (1990) -
Automatic speech recognition and chat bot for air traffic control
by: Low, Ashton Kin Yun
Published: (2024) -
Postprocessing method for suppressing musical noise generated by spectral subtraction
by: Goh, Z., et al.
Published: (2014) -
Modeling of non-native speech automatic speech recognition
by: XIONG YUANTING
Published: (2011) -
On-device implementation of an automatic Filipino speech recognition system
by: Ang, Federico M., et al.
Published: (2008)