Session-independent EMG-based speech recognition

BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

Volumn , Issue , 2011, Pages 295-300

  Wand, Michael ^a   Schultz, Tanja ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Electromyography; EMG based speech recognition; Silent speech interfaces

Indexed keywords

AUDIBLE SIGNALS; ELECTRIC ACTIVATION; EMG SIGNAL; EMG-BASED SPEECH RECOGNITION; RECOGNITION SYSTEMS; SILENT SPEECH INTERFACES; SPEECH INTERFACE; SPEECH RECOGNIZER; SURFACE ELECTRODE; SURFACE ELECTROMYOGRAPHY; TRAINING METHODS; WORD ERROR RATE;

SIGNAL PROCESSING;

SPEECH RECOGNITION;

EID: 79960267600     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Chan, A., Englehart, K., Hudgins, B., and Lovely, D. (2001). Myoelectric Signals to Augment Speech Recognition. Medical and Biological Engineering and Computing, 39:500-506.
2. Denby, B., Schultz, T., Honda, K., Hueber, T., and Gilbert, J. (2010). Silent Speech Interfaces. Speech Communication, 52.
3. Janke, M., Wand, M., and Schultz, T. (2010a). A Spectral Mapping Method for EMG-based Recognition of Silent Speech. In Proc. B-INTERFACE.
4. Janke, M., Wand, M., and Schultz, T. (2010b). Impact of Lack of Acoustic Feedback in EMG-based Silent Speech Recognition. In Proc. Interspeech.
5. Jorgensen, C., Lee, D., and Agabon. S. (2003). Sub Auditory Speech Recognition Based on EMG/EPG Signals. In Proceedings of International Joint Conference on Neural Networks (IJCNN), pages 3128-3133, Portland, Oregon.
6. Jou, S.-C., Schultz, T., Walliczek, M., Kraft, F., and Waibel, A. (2006). Towards Continuous Speech Recognition using Surface Electromyography. In Proc. Interspeech, pages 573-576, Pittsburgh, PA.
7. Jou, S.-C. S., Schultz, T., and Waibel, A. (2007). Continuous Electromyographic Speech Recognition with a Multi-Stream Decoding Architecture. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 401-404, Honolulu, Hawaii.
8. Leggetter, C. J. and Woodland, P. C. (1995). Maximum Likelihood Linear Regression for Speaker Adaptation of Continuous Density Hidden Markov Models. Computer Speech and Language, 9:171-185.
9. Maier-Hein, L., Metze, F., Schultz, T., and Waibel, A. (2005). Session Independent Non-Audible Speech Recognition Using Surface Electromyography. In IEEE Workshop on Automatic Speech Recognition and Understanding, pages 331-336, San Juan, Puerto Rico.
10. Schultz, T. and Wand, M. (2010). Modeling Coarticulation in Large Vocabulary EMG-based Speech Recognition. Speech Communication, 52:341-353.
11. Schünke, M., Schulte, E., and Schumacher, U. (2006). Prometheus - Lernatlas der Anatomie, volume [3]: Kopf und Neuroanatomie. Thieme Verlag, Stuttgart, New York.
12. Wand, M. and Schultz, T. (2009). Towards Speaker-Adaptive Speech Recognition Based on Surface Electromyography. In Proc. Biosignals, pages 155-162, Porto, Portugal.