Measurement of interaction quality is a critical task for the improvemen...
Acoustic events are sounds with well-defined spectro-temporal characteri...
Standard acoustic event classification (AEC) solutions require large-sca...
Current state-of-the-art large-scale conversational AI or intelligent di...
Natural Language Understanding (NLU) is an established component within ...
Wake word (WW) spotting is challenging in far-field not only because of ...
Dialogue level quality estimation is vital for optimizing data driven
di...
Speech-based virtual assistants, such as Amazon Alexa, Google assistant,...
We study few-shot acoustic event detection (AED) in this paper. Few-shot...
An automated metric to evaluate dialogue quality is vital for optimizing...
Training dialog policies for speech-based virtual assistants requires a
...
An automated metric to evaluate dialogue quality is vital for optimizing...
Acoustic Event Detection (AED), aiming at detecting categories of events...
In this paper, we present a compression approach based on the combinatio...
This paper presents our work of training acoustic event detection (AED)
...
Typical spoken language understanding systems provide narrow semantic pa...
We explore active learning (AL) utterance selection for improving the
ac...
Large scale Natural Language Understanding (NLU) systems are typically
t...
In this work, we propose a classifier for distinguishing device-directed...
Fast expansion of natural language functionality of intelligent virtual
...
We propose a max-pooling based loss function for training Long Short-Ter...