ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
1
views
0
references
Top references
cited by
6
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,107
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
A mel-frequency cepstral coefficient-based approach for surface roughness diagnosis in hard turning using acoustic signals and gaussian mixture models
Author(s):
Edielson P. Frigieri
,
Paulo H.S. Campos
,
Anderson P. Paiva
,
Pedro P. Balestrassi
,
João Roberto Ferreira
,
Carlos A. Ynoguti
Publication date
Created:
December 2016
Publication date
(Print):
December 2016
Journal:
Applied Acoustics
Publisher:
Elsevier BV
Read this article at
ScienceOpen
Publisher
Review
Review article
Invite someone to review
Bookmark
Cite as...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Genome Engineering using CRISPR
Author and article information
Journal
Title:
Applied Acoustics
Abbreviated Title:
Applied Acoustics
Publisher:
Elsevier BV
ISSN (Print):
0003682X
Publication date Created:
December 2016
Publication date (Print):
December 2016
Volume
: 113
Pages
: 230-237
Article
DOI:
10.1016/j.apacoust.2016.06.027
SO-VID:
504fcd9c-a8c5-4436-868c-f4e058dfe41c
Copyright ©
© 2016
License:
https://www.elsevier.com/tdm/userlicense/1.0/
History
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
1,107
Safety profile of nivolumab (NIVO) in patients (pts) with advanced melanoma (MEL): A pooled analysis.
Authors:
Jeffrey S. Weber
,
Scott Joseph Antonia
,
Suzanne Topalian
…
MEL-18 loss mediates estrogen receptor–α downregulation and hormone independence
Authors:
Hee-Joo Choi
,
Ju-Hee Kang
,
Jong-Kyu Woo
…
Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients
Authors:
Carlos Alberto Hernández-Nava
,
Eric Alfredo Rincón-García
,
Pedro Lara-Velázquez
…
See all similar
Cited by
6
Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor
Authors:
Xue Han
,
Di Wu
,
Lanyue Zhang
…
Combination of minimum enclosing balls classifier with SVM in coal-rock recognition
Authors:
QingJun Song
,
Haiyan Jiang
,
Qinghui Song
…
Convolution neural network based automatic speech emotion recognition using Mel-frequency Cepstrum coefficients
Authors:
Manju Pawar
,
Rajendra D. Kokate
See all cited by