research
∙
03/15/2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
Continued improvements in machine learning techniques offer exciting new...
share
research
∙
04/13/2022
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes
In this paper, we propose a dynamic cascaded encoder Automatic Speech Re...
research
∙
04/08/2022
Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition
Personalization of on-device speech recognition (ASR) has seen explosive...
research
∙
02/24/2022
Closing the Gap between Single-User and Multi-User VoiceFilter-Lite
VoiceFilter-Lite is a speaker-conditioned voice separation model that pl...
research
∙
07/02/2021
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
In this paper, we propose a solution to allow speaker conditioned speech...
research
∙
04/28/2021
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that ...
research
∙
04/26/2021
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction
Confidence scores are very useful for downstream applications of automat...
research
∙
03/11/2021
Learning Word-Level Confidence For Subword End-to-End ASR
We study the problem of word-level confidence estimation in subword-base...
research
∙
06/02/2020
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer
The demand for fast and accurate incremental speech recognition increase...
research
∙
03/28/2020
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Thus far, end-to-end (E2E) models have not been shown to outperform stat...
research
∙
09/26/2019
Optimizing Speech Recognition For The Edge
While most deployed speech recognition systems today still run on server...
research
∙
08/29/2019
Two-Pass End-to-End Speech Recognition
The requirements for many applications of state-of-the-art speech recogn...
research
∙
02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
research
∙
11/15/2018
Streaming End-to-end Speech Recognition For Mobile Devices
End-to-end (E2E) models, which directly predict output character sequenc...
research
∙
10/26/2017
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models
We develop streaming keyword spotting systems using a recurrent neural n...
research
∙
03/25/2016
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition
We study the problem of compressing recurrent neural networks (RNNs). In...
research
∙
03/10/2016
