Wolfgang Minker

Time-Domain Beamforming and Blind Source Separation

Speech Input in the Car Environment

This book addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing ...

Speech and Human-Machine Dialog

Speech and Human-Machine Dialog focuses on the dialog management component of a spoken language dialog system. Spoken language dialog systems provide ...

Introducing Spoken Dialogue Systems into Intelligent Environments

Introducing Spoken Dialogue Systems into Intelligent Environments outlines the formalisms of a novel knowledge-driven framework for spoken dialogue ma...

Adaptive Multimodal Interactive Systems

Adaptive Multimodal Interactive Systems introduces a general framework for adapting multimodal interactive systems and comprises a detailed discussion...

Semi-Supervised and Unsupervised Machine Learning

Novel Strategies

This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classificatio...

Towards Adaptive Spoken Dialog Systems

In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang Minker investigate statistical approaches that allow for recognit...

Statistical Pronunciation Modeling for Non-Native Speech Processing

In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words ...

Domain-Level Reasoning for Spoken Dialogue Systems

Reasoning for Information: Seeking and Planning Dialogues provides a logic-based reasoning component for spoken language dialogue systems. This compon...

Incorporating Knowledge Sources into Statistical Speech Recognition

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) s...

Proactive Spoken Dialogue Interaction in Multi-Party Environments

Proactive Spoken Dialogue Interaction in Multi-Party Environments describes spoken dialogue systems that act as independent dialogue partners in the c...

Novel Techniques for Dialectal Arabic Speech Recognition

Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recognition for dialectal Arabic. Since speech resources...

Self-Learning Speaker Identification

A System for Enhanced Speech Recognition

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteri...

Hierarchical Neural Network Structures for Phoneme Recognition

In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition. These structures are mainly evaluate...

Handling Emotions in Human-Computer Dialogues

In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the ro...

Next Generation Intelligent Environments

Ambient Adaptive Systems

Intelligent environments represent an emerging topic in research. Next Generation Intelligent Environments: Ambient Adaptive Systems will cover all ke...

Bandwidth Extension of Speech Signals

Bandwidth Extension of Speech Signals describes the theory and methods for quality enhancement of clean speech signals and distorted speech signals su...

ProDial - an Annotated Proactive Dialogue Act Corpus for Conversational Assistants Using Crowdsourcing

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Predicting Persuasive Effectiveness for Multimodal Behavior Adaptation Using Bipolar Weighted Argument Graphs

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Effects of Gender Stereotypes on Trust and Likability in Soken Human-robot Interaction

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Speech Recognition for Mobile Phones

Speech Recognition for Mobile Phones considers practical aspects for the development and deployment of client-server speech-enabled information system...

A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation

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