In this chapter, the authors present a model for learning Word-Like Units (WLUs) based on acoustic recurrence, as well as the results of an application of the model to simulated child-directed speech in human-robot interaction. It is a purely acoustic single-modality model: the learning does not invoke extralinguistic factors such as possible references of words or linguistic constructs including phonemes. The main target phenomenon is the learner’s perception that a WLU has been repeated. To simulate it, a Dynamic Time Warping (DTW)-based algorithm is introduced to search for recurrent utterances of similar acoustic features. The authors then extend this model to incorporate interaction, corrective feedback in particular, and assess the am...
Abstract — It is thought that meaning may be grounded in early childhood language learning via the p...
This paper addresses word learning for human-robot interaction. The focus is on making a robotic age...
How do children acquire language through unsupervised or noisy supervision? How do their brain proce...
In this chapter, the authors present a model for learning Word-Like Units (WLUs) based on acoustic r...
Abstract—We address the problem of bootstrapping language acquisition for an artificial system simil...
This paper presents a robust methodology for grounding vocabulary in robots. A social language groun...
Extracting linguistic units from raw speech sound is an essential part of language acquisition, and ...
Roy [1] developed a computational model of early lexical learning to address three questions: First,...
<div><p>The advent of humanoid robots has enabled a new approach to investigating the acquisition of...
The advent of humanoid robots has enabled a new approach to investigating the acquisition of languag...
The development of machines capable of natural linguistic interaction with humans has been an active...
In order to be able to understand a conversation in interaction, a robot, has to first understand th...
Wrede B, Schillingmann L, Rohlfing K. Making Use of Multi-Modal Synchrony: A Model of Acoustic Packa...
Naming is a powerful cognitive tool that facilitates categorization by forming an association betwee...
This dissertation is an investigation of computational models for sensorimotor integration and word ...
Abstract — It is thought that meaning may be grounded in early childhood language learning via the p...
This paper addresses word learning for human-robot interaction. The focus is on making a robotic age...
How do children acquire language through unsupervised or noisy supervision? How do their brain proce...
In this chapter, the authors present a model for learning Word-Like Units (WLUs) based on acoustic r...
Abstract—We address the problem of bootstrapping language acquisition for an artificial system simil...
This paper presents a robust methodology for grounding vocabulary in robots. A social language groun...
Extracting linguistic units from raw speech sound is an essential part of language acquisition, and ...
Roy [1] developed a computational model of early lexical learning to address three questions: First,...
<div><p>The advent of humanoid robots has enabled a new approach to investigating the acquisition of...
The advent of humanoid robots has enabled a new approach to investigating the acquisition of languag...
The development of machines capable of natural linguistic interaction with humans has been an active...
In order to be able to understand a conversation in interaction, a robot, has to first understand th...
Wrede B, Schillingmann L, Rohlfing K. Making Use of Multi-Modal Synchrony: A Model of Acoustic Packa...
Naming is a powerful cognitive tool that facilitates categorization by forming an association betwee...
This dissertation is an investigation of computational models for sensorimotor integration and word ...
Abstract — It is thought that meaning may be grounded in early childhood language learning via the p...
This paper addresses word learning for human-robot interaction. The focus is on making a robotic age...
How do children acquire language through unsupervised or noisy supervision? How do their brain proce...