Learning Phone Embeddings for Word Segmentation of Child-Directed Speech Jianqiang Maa,b C ¸ a˘grı C ¸ o¨ ltekinb

Source URL: aclweb.org

Informatics 1 CG – Tutorial 3 Carina Silberer Week 4 Last week you discussed in class aspects of language development, specifically speech segmentation and word acquisition. The goal of this tutorial is to revise what

Source URL: www.inf.ed.ac.uk

Informatics 1 CG – Solutions Tutorial 3 Carina Silberer Week 4 Last week you discussed in class aspects of language development, specifically speech segmentation and word acquisition. The goal of this tutorial is to re

Source URL: www.inf.ed.ac.uk

SECTION FOUR Language processes CHAPTER ELEVEN Integrating multiple cues in language

Source URL: cnl.psych.cornell.edu

• Linguistics
• Language acquisition
• Phonology
• Phonetics
• Systemic functional linguistics
• Prosody
• Speech segmentation
• Bootstrapping
• Prosodic unit
• Baby talk
• Word
• Language development

STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

Source URL: mi.eng.cam.ac.uk

• Markov models
• Machine learning
• Artificial intelligence
• Learning
• Computational linguistics
• Speech recognition software
• Computer accessibility
• Speech recognition
• Hidden Markov model
• Conditional random field
• Language model
• Image segmentation

Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata Quiz 3: Language Acquisition 1. What is word learning?

Source URL: www.inf.ed.ac.uk

• Language acquisition
• Academia
• Linguistics
• Language
• Speech segmentation
• Image segmentation
• Bootstrapping
• Vocabulary development
• Cluster analysis

Published at International Joint Conference on Neural Networks (IJCNN), 2015 Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive

Source URL: www.ais.uni-bonn.de

• Artificial neural networks
• Neuroscience
• Cybernetics
• Artificial intelligence
• Convolutional neural network
• Recurrent neural network
• Image segmentation
• Speech recognition
• Receptive field
• Feature learning
• Rectifier
• Biological neural network

IMPROVED MODELING OF AUDIO SIGNALS BY MODIFYING TRANSIENT LOCATIONS Renat Vafin1 , Richard Heusdens2 , Steven van de Par3 , W. Bastiaan Kleijn1 1 Department of Speech, Music and Hearing KTH (Royal Institute of Technology

Source URL: www.mp3-tech.org

• Signal processing
• Electrical engineering
• Engineering
• Mathematical analysis
• Transient
• Window function
• Image segmentation
• Wavelet
• Sub-band coding

In The Proceedings of the 22nd Annual Conference of the Cognitive Science Society (pp), 2000. Mahwah, NJ: Lawrence Erlbaum. A Connectionist Single-Mechanism Account of Rule-Like Behavior in Infancy Morten H. Chris

Source URL: cnl.psych.cornell.edu

• Cognitive science
• Cognition
• Neuropsychology
• Neuropsychological assessment
• Learning
• Language acquisition
• Applied linguistics
• Developmental psychology
• Habituation
• Speech segmentation
• Memory
• Gary Marcus

MAUS Goes Iterative Florian Schiel Bavarian Archive for Speech Signals (BAS) c/o Institut f¨ur Phonetik und Sprachliche Kommunikation University of Munich, Schellingstr. 3, 80799 M¨unchen, Germany -muench

Source URL: www.phonetik.uni-muenchen.de

• Computational linguistics
• Literature
• Humancomputer interaction
• Comics
• Raw
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Maus
• Image segmentation
• Viterbi algorithm
• Speech translation