Carnegie Mellon's Harpy System
Sherry Yu-Ting
Wansu
Janice
Wenjun Meng
Carnegie Mellon's Harpy System
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Introduction
The Harpy connected speech recognition system is the attempt to understand two earlier speech recognition systems developed at Carnegie-Mellon University : The Hearsey-1 system and the Dragon system. The two system have slightly different approaches in terms of XXX. The Hearsay System must use all these sources of knowledge effectively in the Hearsay System, this is achieved by representing knowledge as as a set of cooperating parallel process. The Hearsay System also use the source of knowledge (acoustics-phonetics, prosody, lexicon, syntax, semantics and pragmatics) to generate hypothesis about what words might appear. The Hearsay System is incrementally trying to match words to the un-analyzed portion of the utterance if the resulting word matches are not optimal, the system backs up and tries a different path. The technique was known as probabilistic tree xxx. The Hearsay System cannot recognize sentences in unrestricted English and can only recognize (?) simple phrase structure languages.
beam research
| Feature | Hearsay System | Dragon System | |
|---|---|---|---|
| Model | cooperating parallel process | probabilistic function of a Markov process | |
| Search Strategy | Best-First ( Beam Research ) | all paths in parallel ( search all the possible syntactic
and acoustic paths through the network in parallel to determine optimal path ) |
|
| Segmentation | uses it to reduce effective utterance length | X |
Historical Context
Key Innovations
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Impact
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Future research
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References
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- ↑ Lowerre, B., & Reddy, R. (1976). The harpy speech recognition system: performance with large vocabularies. The Journal of the Acoustical Society of America, 60(S1), S10-S11.