1 citations · 1 across the 2 of their papers we have counts for
4 papers
Dynamic Speech Endpoint Detection with Regression Targets
Dawei Liang, Hang Su, Tarun Singh +5
Interactive voice assistants have been widely used as input interfaces in various scenarios, e.g. on smart homes devices, wearables and on AR devices. Detecting the end of a speech…
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios
Jay Mahadeokar, Yangyang Shi, Yuan Shangguan +7
Often, the storage and computational constraints of embeddeddevices demand that a single on-device ASR model serve multiple use-cases / domains. In this paper, we propose aFlexible…
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
Yuan Shangguan, Rohit Prabhavalkar, Hang Su +8
As speech-enabled devices such as smartphones and smart speakers become increasingly ubiquitous, there is growing interest in building automatic speech recognition (ASR) systems th…
Alignment Restricted Streaming Recurrent Neural Network Transducer
Jay Mahadeokar, Yuan Shangguan, Duc Le +6
There is a growing interest in the speech community in developing Recurrent Neural Network Transducer (RNN-T) models for automatic speech recognition (ASR) applications. RNN-T is t…