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Advances in Phonetic Word Spotting savitha
| Content Provider | Semantic Scholar |
|---|---|
| Author | The, Harry Road |
| Abstract | Phonetic speech retrieval is used to augment word based retrieval in spoken document retrieval systems, for in and out of vocabulary words. In this paper, we present a new indexing and ranking scheme using metaphones and a Bayesian phonetic edit distance. We conduct an extensive set of experiments using a hundred hours of HUB4 data with ground truth transcript and twenty-four thousands query words. We show improvement of up to 15% in precision compare to results obtained speech recognition alone, at a processing time of 0.5 Sec p er query. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www2.cs.arizona.edu/~alon/papers/cikm01.pdf |
| Alternate Webpage(s) | http://www.cs.arizona.edu/~alon/papers/cikm01.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
