Classification-based spoken text selection for LVCSR language modeling
نویسندگان
چکیده
منابع مشابه
Classification-based spoken text selection for LVCSR language modeling
Large vocabulary continuous speech recognition (LVCSR) has naturally been demanded for transcribing daily conversations, while developing spoken text data to train LVCSR is costly and time-consuming. In this paper, we propose a classification-based method to automatically select social media data for constructing a spoken-style language model in LVCSR. Three classification techniques, SVM, CRF,...
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ژورنال
عنوان ژورنال: EURASIP Journal on Audio, Speech, and Music Processing
سال: 2017
ISSN: 1687-4722
DOI: 10.1186/s13636-017-0121-5