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Found 5 papers, 0 papers with code
Language model fusion for streaming end to end speech recognition
Streaming processing of speech audio is required for many contemporary practical speech recognition tasks.
LSTM Acoustic Models Learn to Align and Pronounce with Graphemes
Automated speech recognition coverage of the world's languages continues to expand.
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
Multilingual end-to-end (E2E) models have shown great promise in expansion of automatic speech recognition (ASR) coverage of the world's languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model
Sequence-to-sequence models provide a simple and elegant solution for building speech recognition systems by folding separate components of a typical system, namely acoustic (AM), pronunciation (PM) and language (LM) models into a single neural network.
Multilingual Speech Recognition With A Single End-To-End Model
Training a conventional automatic speech recognition (ASR) system to support multiple languages is challenging because the sub-word unit, lexicon and word inventories are typically language specific.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
