Ashish Shenoy

Machine Learning Engineer, Meta. Seattle.


Applied researcher and machine learning engineer interested in ASR / NLP, on-device AI and privacy preserving ML (Federated Learning).

I also serve on technical program committee for EMNLP and ACL among others.

selected publications

  1. Green Federated Learning
    Ashkan Yousefpour, Shen Guo, Ashish Shenoy, and 7 more authors
  2. Adapting Long Context NLM for ASR Rescoring in Conversational Agents
    Ashish Shenoy, Sravan Bodapati, Monica Sunkara, and 2 more authors
    In Proc. Interspeech 2021, 2021
  3. ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
    Ashish Shenoy, Sravan Bodapati, and Katrin Kirchhoff
    In Proceedings of the 4th Workshop on e-Commerce and NLP, Aug 2021
  4. Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems
    Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, and 3 more authors
    In Proc. Interspeech 2022, Aug 2022
  5. Remember the Context! ASR Slot Error Correction Through Memorization
    Dhanush Bekal, Ashish Shenoy, Monica Sunkara, and 2 more authors
    In 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Aug 2021
  6. preprint
    Now It Sounds Like You: Learning Personalized Vocabulary On Device
    Sid Wang, Ashish Shenoy, Pierce Chuang, and 1 more author
    Aug 2023