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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...
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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...
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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...
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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...
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07/02/2021
Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
In this paper, we propose a solution to allow speaker conditioned speech...
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04/28/2021
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that ...
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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...
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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...
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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...
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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...
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09/26/2019
Optimizing Speech Recognition For The Edge
While most deployed speech recognition systems today still run on server...
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08/29/2019
Two-Pass End-to-End Speech Recognition
The requirements for many applications of state-of-the-art speech recogn...
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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...
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11/15/2018
Streaming End-to-end Speech Recognition For Mobile Devices
End-to-end (E2E) models, which directly predict output character sequenc...
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10/26/2017
Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models
We develop streaming keyword spotting systems using a recurrent neural n...
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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...
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03/10/2016