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内部出版物
CNKI学位论文(245)
知网期刊论文(109)
在“
Elsevier电子期刊
”中,
命中:
34
条,耗时:0.0699625 秒
在所有数据库中总计命中:
354
条
1.
Fuzzy decision fusion of complementary experts based on evolutionary
cepstral
coefficients for phoneme recognition
作者:
Seyed Mostafa Mirhassani
a
;
mostafamirhassani@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
s.m.mirhassani@siswa.um.edu.my" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Hua Nong Ting
a
Author Vitae
;
Abdorreza Alavi Gharahbagh
b
Author Vitae
关键词:
Evolutionary computation
;
Fuzzy decision fusion
;
Automatic speech recognition
;
Cepstral
coefficients
;
Phoneme classification
刊名:Digital Signal Processing
出版年:2016
2.
Learning HMM State Sequences from Phonemes for Speech Synthesis
作者:
Giorgio Biagetti
;
Paolo Crippa
;
p.crippa@univpm.it" class="auth_mail" title="E-mail the corresponding author
;
Laura Falaschetti
;
Simone Orcioni
;
Claudio Turchetti
关键词:
Learning
;
HMM
;
Speech synthesis
;
EM estimation
;
MDCT
;
MFCC
刊名:Procedia Computer Science
出版年:2016
3.
A Wavelet Packet and
Mel
-Frequency
Cepstral
Coefficients-Based Feature Extraction Method for Speaker Identification
作者:
Claude Turner
a
;
Anthony Joseph
b
;
cturner@nsu.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Cepstral
Coefficients
;
Speaker Recognition
;
Wavelet Packets
刊名:Procedia Computer Science
出版年:2015
4.
Intelligibility enhancement of HMM-generated speech in additive noise by modifying
Mel
cepstral
coefficients to increase the glimpse proportion
作者:
Cassia Valentini-Botinhao
;
Junichi Yamagishi
;
Simon King
;
Ranniery Maia
关键词:
Intelligibility of speech in noise
;
HMM-based speech synthesis
;
Mel
cepstral
coefficients
;
Glimpse proportion measure
刊名:Computer Speech & Language
出版年:March, 2014
5.
Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC
parameters
and studying a speaker-independent approach
作者:
Seyed Reza Shahamiri
;
Siti Salwah Binti Salim
关键词:
Dysarthria
;
Automatic speech recognition
;
Artificial neural network
;
Mel
-frequency
cepstral
coefficients
刊名:Advanced Engineering Informatics
出版年:January, 2014
6.
System for removing shell pieces from hazelnut kernels using impact vibration analysis
作者:
A. Enis Cetin
;
Tom C. Pearson
;
R. Akin Sevimli
关键词:
Impact vibration analysis
;
Line spectral frequencies
;
Mel
-
cepstral
feature
;
Hazelnuts
刊名:Computers and Electronics in Agriculture
出版年:February, 2014
7.
Class-specific multiple classifiers scheme to recognize emotions from speech signals
作者:
A. Milton
;
S. Tamil Selvi
关键词:
Multiple classifiers
;
Class specific classification
;
Classifier fusion
;
Speech emotion recognition
;
AR
parameters
刊名:Computer Speech & Language
出版年:May, 2014
8.
Exploring similarity-based classification of larynx disorders from human voice
作者:
Evaldas Vaiciukynas
a
;
evaldas.vaiciukynas@stud.ktu.lt
;
Antanas Verikas
a
;
b
;
antanas.verikas@hh.se
;
Adas Gelzinis
a
;
adas.gelzinis@ktu.lt
;
Marija Bacauskiene
a
;
marija.bacauskiene@ktu.lt
;
Virgilijus Uloza
c
;
virgilijus.ulozas@kmuk.lt
关键词:
Laryngeal disorder
;
Pathological voice
;
Mel
-frequency
cepstral
coefficients
;
Sequence kernel
;
Kullback&ndash
;
Leibler divergence
;
Earth mover&rsquo
;
s distance
;
GMM
;
SVM
刊名:Speech Communication
出版年:2012
9.
A new representation for speech frame recognition based on redundant wavelet filter banks
作者:
Hamid Reza
;
Tohidypour
a
;
;
hamidto86@aut.ac.ir
;
Seyyed Ali
;
Seyyedsalehi
a
;
Hossein
;
Behbood
a
;
Hossein
;
Roshandel
b
关键词:
Redundant wavelet filter-bank (RWFB)
;
Wavelet transform (WT)
;
Speech frame recognition
;
Representation
;
Frame wavelet
;
Zero moments
;
Four-channel higher density discrete wavelet
;
Time delay neural network (TDNN)
刊名:Speech Communication
出版年:2012
10.
Evolutionary
cepstral
coefficients
作者:
Leandro D. Vignolo
a
;
ldvignolo@fich.unl.edu.ar
;
;
Hugo L. Rufiner
a
;
Diego H. Milone
a
;
John C. Goddard
b
[Author vitae]
关键词:
Automatic speech recognition
;
Evolutionary computation
;
Phoneme classification
;
Cepstral
coefficients
刊名:Applied Soft Computing Journal
出版年:2011
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