Ke Hu | DeepAI

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Bo Li
461 publications
Yu Zhang
406 publications
Wei Li
286 publications
Kyunghyun Cho
218 publications
Xin Chen
162 publications
Jian Li
150 publications
Ding Zhao
90 publications
Yonghui Wu
72 publications
Wei Han
71 publications
Quan Wang
68 publications
Tara N. Sainath
66 publications

∙ 08/11/2023

Improving Joint Speech-Text Representations Without Alignment

The last year has seen astonishing progress in text-prompted image gener...

0 Cal Peyser, et al. ∙

∙ 05/25/2023

Mixture-of-Expert Conformer for Streaming Multilingual ASR

End-to-end models with large capacity have significantly improved multil...

0 Ke Hu, et al. ∙

∙ 03/23/2023

A Deliberation-based Joint Acoustic and Text Decoder

We propose a new two-pass E2E speech recognition model that improves ASR...

0 Sepand Mavandadi, et al. ∙

∙ 03/02/2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

We introduce the Universal Speech Model (USM), a single large model that...

0 Yu Zhang, et al. ∙

∙ 02/17/2023

Massively Multilingual Shallow Fusion with Large Language Models

While large language models (LLM) have made impressive progress in natur...

0 Ke Hu, et al. ∙

∙ 10/11/2022

Scaling Up Deliberation for Multilingual ASR

Multilingual end-to-end automatic speech recognition models are attracti...

0 Ke Hu, et al. ∙

∙ 06/29/2022

Improving Deliberation by Text-Only and Semi-Supervised Training

Text-only and semi-supervised training based on audio-only data has gain...

0 Ke Hu, et al. ∙

∙ 05/05/2022

Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling

User historical behaviors are proved useful for Click Through Rate (CTR)...

0 Xin Chen, et al. ∙

∙ 04/15/2022

Streaming Align-Refine for Non-autoregressive Deliberation

We propose a streaming non-autoregressive (non-AR) decoding algorithm to...

0 Weiran Wang, et al. ∙

∙ 01/18/2022

Continual Learning for CTR Prediction: A Hybrid Approach

Click-through rate(CTR) prediction is a core task in cost-per-click(CPC)...

0 Ke Hu, et al. ∙

∙ 11/25/2021

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

Graph Neural Networks (GNNs) have become increasingly popular and achiev...

0 Jin Xu, et al. ∙

∙ 07/06/2021

Polarized skylight orientation determination artificial neural network

This paper proposes an artificial neural network to determine orientatio...

0 Huaju Liang, et al. ∙

∙ 06/10/2021

Deep Position-wise Interaction Network for CTR Prediction

Click-through rate (CTR) prediction plays an important role in online ad...

0 Jianqiang Huang, et al. ∙

∙ 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...

0 David Qiu, et al. ∙

∙ 01/27/2021

Transformer Based Deliberation for Two-Pass Speech Recognition

Interactive speech recognition systems must generate words quickly while...

0 Ke Hu, et al. ∙

∙ 11/04/2020

Realtime CNN-based Keypoint Detector with Sobel Filter and CNN-based Descriptor Trained with Keypoint Candidates

The local feature detector and descriptor are essential in many computer...

0 Xun Yuan, et al. ∙

∙ 08/13/2020

Textual Echo Cancellation

In this paper, we propose Textual Echo Cancellation (TEC) - a framework ...

0 Shaojin Ding, et al. ∙

∙ 05/28/2020

HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors

Nowadays air pollution becomes one of the biggest world issues in both d...

0 Ke Hu, et al. ∙

∙ 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...

0 Tara N. Sainath, et al. ∙

∙ 03/17/2020

Deliberation Model Based Two-Pass End-to-End Speech Recognition

End-to-end (E2E) models have made rapid progress in automatic speech rec...

0 Ke Hu, et al. ∙

∙ 06/21/2019

Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models

Contextual automatic speech recognition, i.e., biasing recognition towar...

0 Ke Hu, et al. ∙

∙ 06/17/2019

Adversarial Training for Multilingual Acoustic Modeling

Multilingual training has been shown to improve acoustic modeling perfor...

0 Ke Hu, et al. ∙

∙ 08/30/2018

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

We reassess a recent study (Hassan et al., 2018) that claimed that machi...

0 Antonio Toral, et al. ∙

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