1 citations · 1 across the 4 of their papers we have counts for
4 papers
LibriSpeech-PC: Benchmark for Evaluation of Punctuation and Capitalization Capabilities of end-to-end ASR Models
Aleksandr Meister, Matvei Novikov, Nikolay Karpov +3
Traditional automatic speech recognition (ASR) models output lower-cased words without punctuation marks, which reduces readability and necessitates a subsequent text processing mo…
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings
Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg
Contextual spelling correction models are an alternative to shallow fusion to improve automatic speech recognition (ASR) quality given user vocabulary. To deal with large user voca…
Automatic Heteronym Resolution Pipeline Using RAD-TTS Aligners
Jocelyn Huang, Evelina Bakhturina, Oktai Tatanov
Grapheme-to-phoneme (G2P) transduction is part of the standard text-to-speech (TTS) pipeline. However, G2P conversion is difficult for languages that contain heteronyms -- words th…
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization
Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg
Inverse text normalization (ITN) is an essential post-processing step in automatic speech recognition (ASR). It converts numbers, dates, abbreviations, and other semiotic classes f…