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American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation
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In: Sensors ; Volume 21 ; Issue 17 (2021)
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| 2 |
Machine Learning Approach to Personality Type Prediction Based on the Myers–Briggs Type Indicator®
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In: Multimodal Technologies and Interaction ; Volume 4 ; Issue 1 (2020)
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La potenciación descortés del desacuerdo en hablantes españoles e ingleses ; Impolite boosting of disagreement in Spanish and English speakers
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| 4 |
Interactional Metadiscourse In Doctoral Thesis Writing: A Study in Kenya
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In: Applied Linguistics Research Journal, Vol 4, Iss 4, Pp 100-113 (2020) (2020)
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| 5 |
Computing Happiness from Textual Data
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In: Stats ; Volume 2 ; Issue 3 ; Pages 25-370 (2019)
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Arabic-SOS: Segmentation, stemming, and orthography standardization for classical and pre-modern standard Arabic
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| 7 |
Computing Happiness from Textual Data
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In: 2 ; 3 ; 347 ; 370 (2019)
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| 8 |
Open-set Speaker Identification
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Abstract:
This study is motivated by the growing need for effective extraction of intelligence and evidence from audio recordings in the fight against crime, a need made ever more apparent with the recent expansion of criminal and terrorist organisations. The main focus is to enhance open-set speaker identification process within the speaker identification systems, which are affected by noisy audio data obtained under uncontrolled environments such as in the street, in restaurants or other places of businesses. Consequently, two investigations are initially carried out including the effects of environmental noise on the accuracy of open-set speaker recognition, which thoroughly cover relevant conditions in the considered application areas, such as variable training data length, background noise and real world noise, and the effects of short and varied duration reference data in open-set speaker recognition. The investigations led to a novel method termed “vowel boosting” to enhance the reliability in speaker identification when operating with varied duration speech data under uncontrolled conditions. Vowels naturally contain more speaker specific information. Therefore, by emphasising this natural phenomenon in speech data, it enables better identification performance. The traditional state-of-the-art GMM-UBMs and i-vectors are used to evaluate “vowel boosting”. The proposed approach boosts the impact of the vowels on the speaker scores, which improves the recognition accuracy for the specific case of open-set identification with short and varied duration of speech material.
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Keyword:
open-set speaker identification; phoneme based speaker recognition; Speaker recognition; vowel based speaker recognition; vowel boosting
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URL: http://hdl.handle.net/2299/21828
https://doi.org/10.18745/th.21828
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| 9 |
IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
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In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
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| 10 |
The Functions of Narrative Passages in Three Written Online Health Contexts
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In: Open Linguistics, Vol 2, Iss 1 (2016) (2016)
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| 11 |
ОБЗОР МЕТОДОВ И АЛГОРИТМОВ РАЗРЕШЕНИЯ ЛЕКСИЧЕСКОЙ МНОГОЗНАЧНОСТИ: ВВЕДЕНИЕ
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| 12 |
IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
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In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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| 13 |
A nonparametric Bayesian perspective for machine learning in partially-observed settings ...
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| 14 |
A nonparametric Bayesian perspective for machine learning in partially-observed settings
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| 15 |
All cumulative semantic interference is not equal: A test of the Dark Side Model of lexical access
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| 16 |
Sign Language Recognition using Sub-Units
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In: http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/2012/Cooper_JMLR_2012.pdf (2012)
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| 17 |
Boosting of fuzzy rules with low quality data
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In: http://sci2s.ugr.es/publications/ficheros/JMVLSC2011.pdf (2011)
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| 18 |
Adasum: an adaptive model for summarization
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In: http://www.cs.fiu.edu/%7Elli003/Sum/CIKM/2008/p901-zhang.pdf (2008)
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| 19 |
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science 2006
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In: http://www.inf.u-szeged.hu/~rfarkas/ds_lnai.pdf (2006)
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| 20 |
The ICSI+ Multilingual Sentence Segmentation System
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In: DTIC (2006)
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