human language technology
Human Language Technology
The Human Language Technology Group is engaged in a wide range of projects focusing on processing of both speech and text. Major research areas include:
- Speech and language processing
- Speech recognition
- Speaker recognition (identification, verification, and authentication)
- Language and dialect identification
- Word and topic spotting
- Speech coding
- Speech and audio signal enhancement
- Machine translation
- Extraction of entities, links, and events from both text and speech
- Multimedia recognition techniques for biometrics applications
- Voice recognition
- Face recognition
- Voice and face recognition
- Iris recognition and information extraction
- Social networks
- Analysis based on information extraction from speech and text
- Content and context analysis
- Advanced analytics
- Analysis of social networks
- Realistic data and experimental evaluation techniques
Leadership for Human Language Technology
 Clifford J. Weinstein |
 Joseph P. Campbell |
 Wade Shen |
To apply for a position, visit Employment Opportunities and select 05-52 Human Language Technology in the Group drop-down box. Students are encouraged to apply for intern positions as well.
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