12 citations · 16 across the 5 of their papers we have counts for
3 papers · 1 filter
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
Karthik Gopalakrishnan, Behnam Hedayatnia, Longshaokan Wang +2
Large end-to-end neural open-domain chatbots are becoming increasingly popular. However, research on building such chatbots has typically assumed that the user input is written in…
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors
Longshaokan Wang, Maryam Fazel-Zarandi, Aditya Tiwari +2
Speech-based virtual assistants, such as Amazon Alexa, Google assistant, and Apple Siri, typically convert users' audio signals to text data through automatic speech recognition (A…
Investigation of Error Simulation Techniques for Learning Dialog Policies for Conversational Error Recovery
Maryam Fazel-Zarandi, Longshaokan Wang, Aditya Tiwari +1
Training dialog policies for speech-based virtual assistants requires a plethora of conversational data. The data collection phase is often expensive and time consuming due to huma…