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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Unsupervised quantification of entity consistency between photos and text in real-world news ... Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022 BASE Show details 2 Traitement neuronal des voix et familiarité : entre reconnaissance et identification du locuteur Plante-Hébert, Julien. - 2020 BASE Show details 3 Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-Term Memory, Deep Neural Networks Qiu, Liang. - : eScholarship, University of California, 2018 In: Qiu, Liang. (2018). Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-Term Memory, Deep Neural Networks. UCLA: Electrical Engineering 0303. Retrieved from: http://www.escholarship.org/uc/item/1pz29229 (2018) Abstract: Non-linguistic Vocalization Recognition refers to the detection and classification of non-speech voice such as laughter, sneeze, cough, cry, screaming, etc. It could be seen as a subtask of Acoustic Event Detection (AED). Great progress has been made by previous research to increase the accuracy of AED. On the front end, multiple kinds of features such as Mel-Frequency Cepstral Coefficients (MFCCs), Gammatone Cepstral Coefficients (GTCCs) and many other hand-crafted features were explored. While on the back end, models or methods such as Gaussian Mixture Models (GMMs), Hidden Markov Models (HMMs), Bags-of-Audio-Words (BoAW), Support Vector Machine (SVM) and various types of neural networks were experimented. Recent researches on Automatic Speech Recognition (ASR) and Acoustic Scene Classification (ASC) show the advantage of using Convolutional, Long Short-Term Memory, Deep Neural Networks (CLDNNs) on audio processing tasks. In this thesis, I am building a non-linguistic vocalization recognition system using CLDNNs. Log Mel-filterbank coefficients are adopted as input features and data augmentation methods such as random shifting and noise mixture are discussed. The built system is evaluated on a custom dataset collected from several resources and tested for real time application. The performance of CLDNNs for non-linguistic vocalization recognition is also compared with hybrid GMM-SVMs, Convolutional Neural Networks, Long Short-Term Memory and a fully connected Deep Neural Network trained on VGGish embeddings. The results indicate that CLDNNs outperform the other models in classification precision and recall. Visualization of CLDNNs are presented to help understand the framework. The model is proved accurate and fast enough for real time applications. Keyword: acoustic event detection; Artificial intelligence; CLDNNs; Computer science; Electrical engineering; non-linguistic vocalization recognition URL: http://www.escholarship.org/uc/item/1pz29229 BASE Hide details 4 Electrophysiological evidence for the integral nature of tone in Mandarin spoken word recognition Ho, Amanda. - 2015 BASE Show details 5 Neural responses demonstrate the dynamicity of speech perception Kramer, Samantha. - 2014 BASE Show details 6 Semantic richness effects in visual word processing Rabovsky, Milena. - : Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2014 BASE Show details 7 Visual word recognition in dyslexia : implication of ventral and dorsal pathways ; La reconnaissance visuelle des mots chez le dyslexique : implication des voies ventrale et dorsale Mahé, Gwendoline. - : HAL CCSD, 2013 In: https://tel.archives-ouvertes.fr/tel-00919475 ; Médecine humaine et pathologie. Université de Strasbourg, 2013. Français. ⟨NNT : 2013STRAJ014⟩ (2013) BASE Show details 8 The Dynamic Role of Subphonemic Cues in Speech Perception: Investigating Coarticulatory Processing Across Sound Classes Arbour, Jessica. - 2012 BASE Show details 9 Applications in pharmacokinetic modeling Arnold, Esther. - : uga, 2003 BASE Show details 10 Neural correlates of consciousness : empirical and conceptual questions Franks, Nicholas P. (Mitarb.); Nijhawan, Romi (Mitarb.); Metzinger, Thomas (Hrsg.). - Cambridge, Mass. [u.a.] : MIT Press, 2002 BLLDB UB Frankfurt Linguistik Show details 11 Time map phonology : finite state models and event logics in speech recognition Carson-Berndsen, Julie. - Dordrecht [u.a.] : Kluwer, 1998 BLLDB Institut für Empirische Sprachwissenschaft UB Frankfurt Linguistik Show details

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