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Consistency Based Unsupervised ASR Personalisation
Nowadays, voice assistants have been widely used by users to control smart phones. An automatic speech recognition (ASR) model plays a crucial role in the voice assistant system to recognise the user voice command, which is subsequently used for downstream tasks such as spoken language understanding and speech translation.
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pMCT - Patched Multi-Condition Training
The clashing of pans and pots as you cook and ask your voice assistant what you can use to replace eggs in the recipe. The excited, overlapping conversations as you ask which of Henry the VIIIs wives survived, trying to settle a bet.
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Locality Enhanced Dynamic Biasing And Sampling Strategies For Contextual ASR
Automatic Speech Recognition (ASR) systems have made significant advancements in recent years, but they still face challenges when recognizing speech containing rare-words (words not often used in everyday’ s conversations) or named entities [Le et al., 2021, Munkhdalai et al., 2022, Munkhdalai et al., 2023].