Grapheme based speech recognition for large vocabularies

Schillo C, Fink GA, Kummert F (2000)
In: International Conference on Spoken Language Processing. 4. Beijing, China: 584-587.

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Abstract
Common speech recognition systems use phonetically motivated subword units. To utilize words in these systems, one has to translate the available graphemic word representation into a phonetic one. To reduce this manual effort we propose to build grapheme based recognition systems. They can be used as speech interfaces for devices that can provide a graphemic representation of words like city names of navigation systems. Results of experiments on a 10,000 word lexicon of German cities are presented.
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Schillo C, Fink GA, Kummert F. Grapheme based speech recognition for large vocabularies. In: International Conference on Spoken Language Processing. Vol 4. Beijing, China; 2000: 584-587.
Schillo, C., Fink, G. A., & Kummert, F. (2000). Grapheme based speech recognition for large vocabularies. International Conference on Spoken Language Processing, 4, 584-587.
Schillo, C., Fink, G. A., and Kummert, F. (2000). “Grapheme based speech recognition for large vocabularies” in International Conference on Spoken Language Processing, vol. 4, (Beijing, China), 584-587.
Schillo, C., Fink, G.A., & Kummert, F., 2000. Grapheme based speech recognition for large vocabularies. In International Conference on Spoken Language Processing. no.4 Beijing, China, pp. 584-587.
C. Schillo, G.A. Fink, and F. Kummert, “Grapheme based speech recognition for large vocabularies”, International Conference on Spoken Language Processing, vol. 4, Beijing, China: 2000, pp.584-587.
Schillo, C., Fink, G.A., Kummert, F.: Grapheme based speech recognition for large vocabularies. International Conference on Spoken Language Processing. 4, p. 584-587. Beijing, China (2000).
Schillo, Christoph, Fink, Gernot A., and Kummert, Franz. “Grapheme based speech recognition for large vocabularies”. International Conference on Spoken Language Processing. Beijing, China, 2000.Vol. 4. 584-587.
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