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11/09/2022
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting
This paper proposes a hardware-efficient architecture, Linearized Convol...
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01/14/2021
On the quantization of recurrent neural networks
Integer quantization of neural networks can be defined as the approximat...
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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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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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12/10/2017
A Cascade Architecture for Keyword Spotting on Mobile Devices
We present a cascade architecture for keyword spotting with speaker veri...
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07/15/2016
On the efficient representation and execution of deep acoustic models
In this paper we present a simple and computationally efficient quantiza...
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03/10/2016