Current endpointing (EP) solutions learn in a supervised framework, whic...
As for other forms of AI, speech recognition has recently been examined ...
Recent years have seen significant advances in end-to-end (E2E) spoken
l...
Comprehending the overall intent of an utterance helps a listener recogn...
Spoken language understanding (SLU) systems extract transcriptions, as w...
End-to-end automatic speech recognition (ASR) systems are increasingly
p...
We consider the problem of spoken language understanding (SLU) of extrac...
Neural language models (NLM) have been shown to outperform conventional
...
For real-world speech recognition applications, noise robustness is stil...
Accurate on-device keyword spotting (KWS) with low false accept and fals...
Statistical language models (LM) play a key role in Automatic Speech
Rec...
Statistical language models (LM) play a key role in Automatic Speech
Rec...
Conversational agents are exploding in popularity. However, much work re...
Dialog evaluation is a challenging problem, especially for non task-orie...
We propose a max-pooling based loss function for training Long Short-Ter...