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Found 5 papers, 0 papers with code
A Deliberation-based Joint Acoustic and Text Decoder
We propose a new two-pass E2E speech recognition model that improves ASR performance by training on a combination of paired data and unpaired text data.
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification
Language identification is critical for many downstream tasks in automatic speech recognition (ASR), and is beneficial to integrate into multilingual end-to-end ASR as an additional task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Improving Deliberation by Text-Only and Semi-Supervised Training
Text-only and semi-supervised training based on audio-only data has gained popularity recently due to the wide availability of unlabeled text and speech data.
Improving Rare Word Recognition with LM-aware MWER Training
Language models (LMs) significantly improve the recognition accuracy of end-to-end (E2E) models on words rarely seen during training, when used in either the shallow fusion or the rescoring setups.
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus
End-to-end (E2E) automatic speech recognition (ASR) systems lack the distinct language model (LM) component that characterizes traditional speech systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
