R I Damper
Biographic Data
| ID | 5887390 |
|---|---|
| NAME | R I Damper |
| GIVEN NAMES | R I |
| FAMILY NAME | Damper |
| SIGNATURE | DAMPER R I |
| AFFILIATIONS | University of Southampton |
| ORCID | 0000-0003-0088-8436 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2009 |
| H-INDEX | 1 |
Automatic Syllabification in English
Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the syllable, whereas the data-driven paradigm tries to infer “new” syllabifications from examples assumed to be …
A Multistrategy Approach to Improving Pronunciation by Analogy
Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with potential application to next-generation text-to-speech systems. This paper extends previous work on PbA in several directions. First, we have included “full” pattern matching between input letter string and dictionary entries, as well as including lexical stress in letter-to-phoneme conversion. Second, we have extended the method to phoneme-to-letter conve…
Pronunciation by Analogy
Pronunciation by analogy (PbA) is an emerging, data-driven technique with potential application in text-to-speech (TTS) systems, as well as being an influential psychological model of reading aloud. The underlying idea is that a pronunciation for an unknown word (i.e., one not in the dictionary, or lexicon, of the human or machine “reader”) is assembled by matching substrings of the input to substrings of known, lexical words, hypothesizing a par…
Automatic Syllabification in English
Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the syllable, whereas the data-driven paradigm tries to infer “new” syllabifications from examples assumed to be …
A Multistrategy Approach to Improving Pronunciation by Analogy
Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with potential application to next-generation text-to-speech systems. This paper extends previous work on PbA in several directions. First, we have included “full” pattern matching between input letter string and dictionary entries, as well as including lexical stress in letter-to-phoneme conversion. Second, we have extended the method to phoneme-to-letter conve…
Pronunciation by Analogy
Pronunciation by analogy (PbA) is an emerging, data-driven technique with potential application in text-to-speech (TTS) systems, as well as being an influential psychological model of reading aloud. The underlying idea is that a pronunciation for an unknown word (i.e., one not in the dictionary, or lexicon, of the human or machine “reader”) is assembled by matching substrings of the input to substrings of known, lexical words, hypothesizing a par…
Pronunciation by Analogy
Pronunciation by analogy (PbA) is an emerging, data-driven technique with potential application in text-to-speech (TTS) systems, as well as being an influential psychological model of reading aloud. The underlying idea is that a pronunciation for an unknown word (i.e., one not in the dictionary, or lexicon, of the human or machine “reader”) is assembled by matching substrings of the input to substrings of known, lexical words, hypothesizing a par…
A Multistrategy Approach to Improving Pronunciation by Analogy
Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with potential application to next-generation text-to-speech systems. This paper extends previous work on PbA in several directions. First, we have included “full” pattern matching between input letter string and dictionary entries, as well as including lexical stress in letter-to-phoneme conversion. Second, we have extended the method to phoneme-to-letter conve…
Automatic Syllabification in English
Automatic syllabification of words is challenging, not least because the syllable is not easy to define precisely. Consequently, no accepted standard algorithm for automatic syllabification exists. There are two broad approaches: rule-based and data-driven. The rule-based method effectively embodies some theoretical position regarding the syllable, whereas the data-driven paradigm tries to infer “new” syllabifications from examples assumed to be …
Artificial Intelligence (3 works) · Computer Science (3 works) · Natural language processing (3 works) · Speech recognition (3 works) · Analogy (2 works) · Artificial Intelligence (2 works) · Lexicon (2 works) · Linguistics (2 works) · Mathematics (2 works) · Natural Language Processing Techniques (2 works)