DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 22

1
"You stupid tin box" - children interacting with the AIBO robot: a cross-linguistic emotional speech corpus
BASE
Show details
2
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
BASE
Show details
3
Linguistic Measures of Pitch Range in Slavic and Germanic Languages
Andreeva, Bistra [Verfasser]; Möbius, Bernd [Verfasser] [Herausgeber]; Demenko, Grazyna [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
Show details
4
The Effect of High-Variability Training on the Perception and Production of French Stops by German Native Speakers
Jügler, Jeanin [Verfasser]; Zimmerer, Frank [Verfasser]; Möbius, Bernd [Verfasser] [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
Show details
5
The INTERSPEECH 2016 computational paralinguistics challenge: deception, sincerity and native language
Steidl, Stefan Verfasser]; Hirschberg, Julia Verfasser]. - Augsburg : Universität Augsburg, 2016
DNB Subject Category Language
Show details
6
Introduction to the Special Issue on Broadening the View on Speaker Analysis
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 343-345
OLC Linguistik
Show details
7
Medium-term speaker states—A review on intoxication, sleepiness and the first challenge
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 2, 346-374
OLC Linguistik
Show details
8
Paralinguistics in speech and language - state-of-the-art and the challenge
Steidl, Stefan Verfasser]. - Augsburg : Universität Augsburg, 2013
DNB Subject Category Language
Show details
9
Introduction to the special issue on Paralinguistics in Naturalistic Speech and Language
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 1-3
OLC Linguistik
Show details
10
Paralinguistics in speech and language—State-of-the-art and the challenge
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 4-39
OLC Linguistik
Show details
11
Whodunnit - searching for the most important feature types signalling emotion-related user states in speech
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 1, 4-28
BLLDB
OLC Linguistik
Show details
12
Introduction to the special issue on sensing emotion and affect – Facing realism in speech processing
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 9-10, 1059-1061
OLC Linguistik
Show details
13
Sensing emotion and affect - facing realism in speech processing
MPI für Psycholinguistik
Show details
14
Recognising realistic emotions and affect in speech: state of the art and lessons learnt from the first challenge
In: Speech communication. - Amsterdam [u.a.] : Elsevier 53 (2011) 9-10, 1062-1087
BLLDB
OLC Linguistik
Show details
15
Whodunnit - Searching for the Most Important Feature Types Signalling Emotion-Related User States in Speech
In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00661911 ; Computer Speech and Language, Elsevier, 2010, 25 (1), pp.4. ⟨10.1016/j.csl.2009.12.003⟩ (2010)
BASE
Show details
16
Emotion Recognition using Imperfect Speech Recognition ...
Abstract: This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can convey complementary evidence to the information extracted by classifiers based on spectral, or other non-linguistic features. As speech-to-text usually presents significantly more computational effort, in this study we investigate the degree of speech-to-text accuracy needed for reliable detection of emotions from an automatically generated transcription of an utterance. We evaluate the use of hypotheses in both training and testing, and compare several classification approaches on the same task. Our results show that emotion recognition performance stays roughly constant as long as word accuracy doesn't fall below a reasonable value, making the use of speech-to-text viable for training of emotion classifiers based on linguistics. ...
Keyword: 89999 Information and Computing Sciences not elsewhere classified; FOS Computer and information sciences
URL: https://dx.doi.org/10.1184/r1/6473348
https://kilthub.cmu.edu/articles/Emotion_Recognition_using_Imperfect_Speech_Recognition/6473348
BASE
Hide details
17
Emotion Recognition using Imperfect Speech Recognition ...
Metze, Florian; Batliner, Anton; Eyben, Florian. - : Carnegie Mellon University, 2010
BASE
Show details
18
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote ...
Schuller, Bjorn; Metze, Florian; Steidl, Stefan. - : Carnegie Mellon University, 2010
BASE
Show details
19
Automatic classification of emotion-related user states in spontaneous children's speech
Steidl, Stefan. - Berlin : Logos-Verl., 2009
BLLDB
UB Frankfurt Linguistik
Show details
20
Assessment of non-native children's pronunciation: human marking and automatic scoring
Hacker, Christian Verfasser]. - Augsburg : Universität Augsburg, 2005
DNB Subject Category Language
Show details

Page: 1 2

Catalogues
1
0
7
0
7
0
0
Bibliographies
3
0
0
0
0
0
0
0
1
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
6
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern