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Hits 1 – 20 of 23
1
A Multimodal User Interface for an Assistive Robotic Shopping Cart
Ryumin, Dmitry
;
Kagirov, Ildar
;
Axyonov, Alexandr
. - 2020
BASE
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2
A Multimodal User Interface for an Assistive Robotic Shopping Cart
Ryumin, Dmitry
;
Kagirov, Ildar
;
Axyonov, Alexandr
. - 2020
BASE
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3
Speech communication integrated with other modalities [<Journal>]
Karpov, Alexey
[Verfasser];
Mporas, Iosif
[Verfasser]
DNB Subject Category Language
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4
Sociolinguistic Features for Author Gender Identification: From Qualitative Evidence to Quantitative Analysis
Mporas, Iosif
. - 2018
BASE
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5
Sociolinguistic Features for Author Gender Identification:From Qualitative Evidence to Quantitative Analysis.
Simaki, Vasiliki
;
Aravantinou, Christina
;
Mporas, Iosif
. - 2017
BASE
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6
Stance Classification in Texts from Blogs on the 2016 British Referendum
Kerren, Andreas
;
Simaki, Vasiliki
;
Paradis, Carita
. - : Springer, 2017
BASE
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7
Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages
Lazaridis, Alexandros
;
Mporas, Iosif
;
Motlicek, Petr
;
Garner, Philip N.
;
Himawan, Ivan
In: http://infoscience.epfl.ch/record/223756 (2016)
Abstract:
The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a target language. We investigate how the correlation (in the sense of phonetic similarity) of the source and target languages and the amount of data of the source language affect the efficiency of the MLAN schemes. We experiment with three different scenarios using, i) French, as a source language uncorrelated to the target language, ii) Ukrainian, as a source language correlated to the target one and finally iii) English as a source language uncorrelated to the target language using a relatively large amount of data in respect to the other two scenarios. In all cases Russian is used as target language. GLOBALPHONE data is used, except for English, where a mixture of LIBRISPEECH, TEDLIUM and AMIDA is available. The results have shown that both of these two factors are important for the MLAN schemes. Specifically, on the one hand, when a modest amount of data from the source language is used, the correlation of the source and target languages is very important. On the other hand, the correlation of the two languages seems to be less important when a relatively large amount of data, from the source language, is used. The best performance in word error rate (WER), was achieved when the English language was used as the source one in the multi-task MLAN scheme, achieving a relative improvement of 9.4% in respect to the baseline DNN model.
URL:
http://infoscience.epfl.ch/record/223756
https://infoscience.epfl.ch/record/223756/files/Lazaridis_IWSLT_2016.pdf
BASE
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8
Evaluation and Sociolinguistic Analysis of Text Features for Gender and Age Identification
Simaki, Vasiliki
;
Mporas, Iosif
;
Megalooikonomou, Vasileios
. - 2016
BASE
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9
Age Identification of Twitter Users:Classification Methods and Sociolinguistic Analysis
Simaki, Vasiliki
;
Mporas, Iosif
;
Megalooikonomou, Vasileios
. - : Springer, 2016
BASE
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10
Using Sociolinguistic Inspired Features for Gender Classification of Web Users
Simaki, Vasiliki
;
Aravantinou, Christina
;
Mporas, Iosif
. - : Springer, 2015
BASE
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11
Wavelet basis selection for enhanced speech parametrization in speaker verification
Ganchev, Todor
;
Siafarikas, Mihalis
;
Mporas, Iosif
...
In:
International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ.
17 (2014) 1, 27-36
OLC Linguistik
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12
Wavelet basis selection for enhanced speech parametrization in speaker verification
Mporas, Iosif
;
Ganchev, Todor
;
Siafarikas, Mihalis
. - 2014
BASE
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13
Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
Mporas, Iosif
;
Benz, Heather L.
;
Knas, Vasileios G.
. - 2014
BASE
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14
Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
Kanas, Vasileios G.
;
Mporas, Iosif
;
Benz, Heather L.
. - 2014
BASE
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15
Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing
Tsilfidis, Alexandros
;
Mporas, Iosif
;
Mourjopoulos, John
...
In:
Computer speech and language. - Amsterdam [u.a.] : Elsevier
27 (2013) 1, 380-395
OLC Linguistik
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16
Two-stage phone duration modelling with feature construction and feature vector extension for the needs of speech synthesis
Lazaridis, Alexandros
;
Ganchev, Todor
;
Mporas, Iosif
...
In:
Computer speech and language. - Amsterdam [u.a.] : Elsevier
26 (2012) 4, 274-292
BLLDB
OLC Linguistik
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17
Improving phone duration modelling using support vector regression fusion
Mporas, Iosif
;
Lazaridis, Alexandros
;
Ganchev, Todor
...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
53 (2011) 1, 85-97
BLLDB
OLC Linguistik
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18
Speech segmentation using regression fusion of boundary predictions
Ganchev, Todor
;
Mporas, Iosif
;
Fakotakis, Nikos
In:
Computer speech and language. - Amsterdam [u.a.] : Elsevier
24 (2010) 2, 273-288
BLLDB
OLC Linguistik
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19
Phone duration modeling: overview of techniques and performance optimization via feature selection in the context of emotional speech
Fakotakis, Nikos
;
Mporas, Iosif
;
Kostoulas, Theodoros
...
In:
International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ.
13 (2010) 3, 175-188
BLLDB
OLC Linguistik
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20
Improving phone duration modelling using support vector regression fusion
Lazaridis, Alexandros
;
Mporas, Iosif
;
Ganchev, Todor
...
In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00699049 ; Speech Communication, Elsevier : North-Holland, 2010, 53 (1), pp.85. ⟨10.1016/j.specom.2010.07.005⟩ (2010)
BASE
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