Blog(2)

• 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.

• 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].

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Publications(7)

• A comparison of streaming models and data augmentation methodsfor robust speech recognition

  AuthorJiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim

  PublishedIEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)

  Date2021-12-17

• SEMI-SUPERVISED TRANSFER LEARNING FOR LANGUAGE EXPANSION OF END-TO-END SPEECH RECOGNITION MODELS TO LOW-RESOURCE LANGUAGES

  AuthorJiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim

  PublishedIEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)

  Date2021-12-17

• Two-Pass End-to-End ASR Model Compression

  AuthorNauman Dawalatabad, Tushar Vatsal, Ashutosh Gupta, Sungsoo Kim, Shatrughan Singh, Dhananjaya Gowda, Chanwoo Kim

  PublishedIEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)

  Date2021-12-17

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