2 citations · 2 across the 14 of their papers we have counts for
3 papers · 2 filters
SHAMS: An Audio-Grounded Pronunciation Benchmark for Levantine Arabic
Ben Sapirstein, Roy Mattar, Guy Mor-Lan +3
Levantine Arabic (LA) is spoken by tens of millions of people, creating a pressing need for shared benchmarks to evaluate LA speech-language technologies. Evaluating such technolog…
ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion
Maxim Melichov, Yakov Kolani, Morris Alper
Grapheme-to-phoneme (G2P) conversion for Modern Hebrew is needed for applications like text-to-speech (TTS), but is challenging due to the language's abjad writing system, which le…
CWoMP: Morpheme Representation Learning for Interlinear Glossing
Morris Alper, Enora Rice, Bhargav Shandilya +2
Interlinear glossed text (IGT) is a standard notation for language documentation which is linguistically rich but laborious to produce manually. Recent automated IGT methods treat…