Syllabification by Phone Categorization
| Autor: | Paul De Palma, Maxwell Dulin, Jacob Krantz, Mark VanDam |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Computation and Language Syllabification Computer science Speech recognition Speech synthesis 02 engineering and technology computer.software_genre 030507 speech-language pathology & audiology 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION Categorization Phone Classifier (linguistics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Document retrieval Syllable Computational linguistics 0305 other medical science Hidden Markov model Computation and Language (cs.CL) computer |
| Zdroj: | GECCO (Companion) |
| Popis: | Syllables play an important role in speech synthesis, speech recognition, and spoken document retrieval. A novel, low cost, and language agnostic approach to dividing words into their corresponding syllables is presented. A hybrid genetic algorithm constructs a categorization of phones optimized for syllabification. This categorization is used on top of a hidden Markov model sequence classifier to find syllable boundaries. The technique shows promising preliminary results when trained and tested on English words. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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