INSPIRE - Investigating Speech Processing in Realistic Environments

Centre for Language and Speech Technology,
Radboud University Nijmegen

About the group

The Centre for Language and Speech Technology (CLST) provides research, services for application development, and consultancy in the area of language and speech technology. CLST is embedded in the Department of Language and Speech of the Radboud University Nijmegen. 

CLST focuses on fundamental and applied research in the field of LST. The emphasis is on the use and development of LST in the following domains of research:

• Data mining and knowledge discovery (text and audio)
• Language learning and language teaching
• Communication in health care
• Forensics and its applications

Projects

CLST is the Coordinator of INSPIRE and main host of two INSPIRE projects:

• Project ID-2: "Multiple source stream integration in human listeners" with the aim to investigate how individual differences in auditory and/or cognitive abilities determine the speed of information stream integration and the impact of cognitive load.
• Project ENR-1: "Increasing robustness of speech recognition by using multiple signal representations" with the aim to develop a computational model that can use multiple (e.g., articulatory, short-term and long-term spectro-temporal) signal representations for automatically learning and exploiting the redundancy of the speech.

CLST is also the second host of INSPIRE projects A-3 and ID-1.

People

The following people at CLST are involved in INSPIRE projects:

• Bert Cranen, Associate Professor
• Henk van den Heuvel, Director
• Esther Janse, Associate Professor
• Odette Scharenborg, Associate Professor
• Sara Ahmadi, PhD Student, fellow on project Project ENR-1: "Increasing robustness of speech recognition by using multiple signal representations"
• Juliane Schmidt, PhD Student, fellow on project Project ID-2: "Multiple source stream integration in human listeners"
• Hella Cranen Jooren, Secretary