Sonority rise: Aiding backoff in syllable-based speech synthesis

Rallabandi, Saikrishna; Pandey, Ayushi; Rallabandi, Saisirisha; Godambe, Tejas; Gangashetty, Suryakanth V.

doi:10.1109/ncc.2016.7561189

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…In addition to the theoretical issues sketched above, studies involving sonority have also contributed to more practical applications such as speech technology. The following subfields are represented among the works sampled here: automated speech recognition (ASR; Cassandro, Collet, Duarte, Galves, & Garcia, ; Kawai, ; Saul, Rahim, & Allen, ), text‐to‐speech synthesis (Hui, Chin, & Watson, ; Rallabandi, Pandey, Rallabandi, Godambe, & Gangashetty, ; van Niekerk, ), computer‐assisted pronunciation training (CAPT; Burgos, Cucchiarini, van Hout, & Strik, ; Martínez‐Paricio, Koreman, Husby, Abrahamsen, & Bech, ), script to IPA conversion (Sok & Adams, ), and automated parsing or syllabification (Arrabothu, ; Bigi & Klessa, ; Gong, Obin, Dzhambazov, & Serra, ; Kawai & van Santen, ; Ludusan & Dupoux, ; Mayora‐Ibarra & Curatelli, ; Patha, Bayya, & Gangashetty, ).…”

Section: Introductionmentioning

confidence: 99%

Sounding out Sonority

Parker

2017

Language and Linguist. Compass

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This metastudy summarizes 264 recent experimental works involving sonority. The discussion here centers around an accompanying appendix that lists several details of each study, including the research question or hypothesis, outcome, language of focus, stimuli used to probe for the effect of sonority, methodology used to present test items and/or obtain results, participants' task, variables measured, and keywords. These metadata are presented in an Excel spreadsheet in order to give users flexibility to search and sort by details of interest, either alone or in various combinations. The overall findings of the 264 studies are naturally somewhat mixed but in general provide moderate support for the linguistic relevance of sonority.

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