Wolfgang Minker
Use attributes for filter ! | |
Gender | Male |
---|---|
Age | 57 |
Date of birth | February 12,1967 |
Zodiac sign | Aquarius |
Born | Ulm |
Germany | |
H index | 36 |
Date of Reg. | |
Date of Upd. | |
ID | 701864 |
Speech and Human-Machine Dialog
Stochastically- based semantic analysis
Self-Learning Speaker Identification: A System for Enhanced Speech Recognition
Handling Emotions in Human-Computer Dialogues
Bandwidth Extension of Speech Signals
Introducing Spoken Dialogue Systems Into Intelligent Environments
Towards Adaptive Spoken Dialog Systems
Statistical Pronunciation Modeling for Non-Native Speech Processing
Novel Techniques for Dialectal Arabic Speech Recognition
Hierarchical Neural Network Structures for Phoneme Recognition
Adaptive Multimodal Interactive Systems
Time-Domain Beamforming and Blind Source Separation: Speech Input in the Car Environment
Semi- Supervised and Unervised Machine Learning: Novel Strategies
Incorporating Knowledge Sources Into Statistical Speech Recognition
Domain-Level Reasoning for Spoken Dialogue Systems
Speech Recognition for Mobile Phones
Stochastically- based semantic analysis
Self-Learning Speaker Identification: A System for Enhanced Speech Recognition
Handling Emotions in Human-Computer Dialogues
Bandwidth Extension of Speech Signals
Introducing Spoken Dialogue Systems Into Intelligent Environments
Towards Adaptive Spoken Dialog Systems
Statistical Pronunciation Modeling for Non-Native Speech Processing
Novel Techniques for Dialectal Arabic Speech Recognition
Hierarchical Neural Network Structures for Phoneme Recognition
Adaptive Multimodal Interactive Systems
Time-Domain Beamforming and Blind Source Separation: Speech Input in the Car Environment
Semi- Supervised and Unervised Machine Learning: Novel Strategies
Incorporating Knowledge Sources Into Statistical Speech Recognition
Domain-Level Reasoning for Spoken Dialogue Systems
Speech Recognition for Mobile Phones
Wolfgang Minker Life story
Dr. Minker has published several monographs with us on related topics going back to 1994/95. These titles tend to be highly regarded and all have similar sales.