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Robust phoneme recognition for a speech therapy environment
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Abstract:
Traditional speech therapy approaches for speech sound disorders have a lot of advantages to gain from computerbased therapy systems. With speech recognition techniques the motivation elements of these systems can be automated in order to get an interactive environment that motivates the therapy attendee towards better performances. Here we propose a robust phoneme recognition solution for an interactive environment for speech therapy. We compare the results of hierarchical and flat classification, with naive Bayes, support vector machines andkernel density estimation on linear predictive coding coefficients and Mel-frequency cepstral coefficients. ; N/A
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Keyword:
Kernel density estimation; Naive bayes; Phoneme detection; Speech therapy; Support vector machines
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URL: http://hdl.handle.net/10400.26/39982
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An Enhanced Corpus for Arabic Newspapers Comments
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In: ISSN: 1683-3198 ; International Arab Journal of Information Technology ; https://hal.archives-ouvertes.fr/hal-03124728 ; International Arab Journal of Information Technology, Colleges of Computing and Information Society (CCIS), 2020, 17 (5), pp.789-798. ⟨10.34028/iajit/17/5/12⟩ (2020)
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Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet
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In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
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Furosine and HMF determination in prebiotic-supplemented infant formula from Spanish market
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Análisis de sentimientos a nivel de aspecto usando ontologías y aprendizaje automático ; Aspect-based sentiment analysis using ontologies and machine learning
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Modality prediction of biomedical literature images using multimodal feature representation ... : Klassifikation von Bildern der biomedizinischen Literatur unter Anwendung multimodaler Merkmale ...
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Language identification of multilingual posts from Twitter: a case study
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Continuous Speech Classification Systems for Voice Pathologies Identification
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In: IFIP Advances in Information and Communication Technology ; 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS) ; https://hal.inria.fr/hal-01343485 ; 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. pp.217-224, ⟨10.1007/978-3-319-16766-4_23⟩ (2015)
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Sentiment analysis: text, pre-processing, reader views and cross domains
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Analysis of Features for Synthetic Aperture Radar Target Classification
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In: DTIC (2015)
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Virtual sign : a real time bidirectional translator of portuguese sign language
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Modelling Psychological Needs for User-dependent Contextual Suggestion
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In: DTIC (2014)
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Conversion of sign language to Spoken sentences by means of a sensory glove
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The importance of word-final vowel duration for non-native portuguese speaker identification by means of Support Vector Machines
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In: Revista Brasileira de Linguística Aplicada, Vol 14, Iss 3, Pp 689-714 (2014) (2014)
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ReaderBench, o platformă integrată pentru analiza complexității textuale și a strategiilor de lectură
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In: Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013) ; https://hal.archives-ouvertes.fr/hal-01412573 ; Proc. 10-a Conf. Nat. de Interactiune Om-Calculator (RoCHI 2013), T. Stefanut; C. Rusu, 2013, Cluj, Romania. pp.39-46 (2013)
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