Název: Generování fonetického slovníku pro rozpoznávání řeči z dat
Překlad názvu: Data-driven Pronunciation Generation for ASR
Autoři: Obedkova, Maria ; Plátek, Ondřej (vedoucí práce) ; Peterek, Nino (oponent)
Typ dokumentu: Diplomové práce
Rok: 2019
Jazyk: eng
Abstrakt: Data-Driven Pronunciation Generation for ASR Maria Obedkova In ASR systems, dictionaries are usually used to describe pronunciations of words in a language. These dictionaries are typically hand-crafted by linguists. One of the most significant drawbacks of dictionaries created this way is that linguistically motivated pronunciations are not necessarily the optimal ones for ASR. The goal of this research was to explore approaches of data-driven pro- nunciation generation for ASR. We investigated several approaches of lexicon generation and implemented the completely new data-driven solution based on the pronunciation clustering. We proposed an approach for feature extraction and researched different unsupervised methods for pronunciation clustering. We evaluated the proposed approach and compared it with the current hand-crafted dictionary. The proposed data-driven approach could beat the established base- lines but underperformed in comparison to the hand-crafted dictionary which could be due to unsatisfactory features extracted from data or insufficient fine tuning. 1
Klíčová slova: ASR; data-driven; fonetický slovník; fonetika; ASR; data-driven; phonetic dictionary; phonetics; unsupervised

Instituce: Fakulty UK (VŠKP) (web)
Informace o dostupnosti dokumentu: Dostupné v digitálním repozitáři UK.
Původní záznam: http://hdl.handle.net/20.500.11956/109402

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-404999


Záznam je zařazen do těchto sbírek:
Školství > Veřejné vysoké školy > Univerzita Karlova > Fakulty UK (VŠKP)
Vysokoškolské kvalifikační práce > Diplomové práce