Yongqiang Wang

research

∙ 09/14/2023

USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models

We introduce a multilingual speaker change detection model (USM-SCD) tha...

0 Guanlong Zhao, et al. ∙

research

∙ 09/11/2023

Undergraduate Research of Decentralized Localization of Roombas Through Usage of Wall-Finding Software

This paper introduces the research effort of an undergraduate research t...

0 Madeline Corvin, et al. ∙

research

∙ 08/06/2023

Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)

Image segmentation serves as a critical tool across a range of applicati...

0 Youssef Sultan, et al. ∙

research

∙ 07/24/2023

MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment

In real-world traffic, there are various uncertainties and complexities ...

0 Lei Cai, et al. ∙

research

∙ 06/25/2023

Locally Differentially Private Distributed Online Learning with Guaranteed Optimality

Distributed online learning is gaining increased traction due to its uni...

0 Ziqin Chen, et al. ∙

research

∙ 06/22/2023

AudioPaLM: A Large Language Model That Can Speak and Listen

We introduce AudioPaLM, a large language model for speech understanding ...

0 Paul K. Rubenstein, et al. ∙

research

∙ 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. ∙

research

∙ 12/14/2022

Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy

Privacy protection and nonconvexity are two challenging problems in dece...

0 Yongqiang Wang, et al. ∙

research

∙ 11/14/2022

A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence

We propose a new dynamic average consensus algorithm that is robust to i...

0 Yongqiang Wang, et al. ∙

research

∙ 10/29/2022

Accelerating RNN-T Training and Inference Using CTC guidance

We propose a novel method to accelerate training and inference process o...

0 Yongqiang Wang, et al. ∙

research

∙ 10/28/2022

Ensure Differential Privacy and Convergence Accuracy in Consensus Tracking and Aggregative Games with Coupling Constraints

We address differential privacy for fully distributed aggregative games ...

0 Yongqiang Wang, et al. ∙

research

∙ 09/11/2022

Ensuring both Accurate Convergence and Differential Privacy in Nash Equilibrium Seeking on Directed Graphs

We study in this paper privacy protection in fully distributed Nash equi...

0 Yongqiang Wang, et al. ∙

research

∙ 09/03/2022

Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence

The distributed computation of a Nash equilibrium in aggregative games i...

0 Yongqiang Wang, et al. ∙

research

∙ 08/07/2022

Quantization enabled Privacy Protection in Decentralized Stochastic Optimization

By enabling multiple agents to cooperatively solve a global optimization...

4 Yongqiang Wang, et al. ∙

research

∙ 05/08/2022

Decentralized Stochastic Optimization with Inherent Privacy Protection

Decentralized stochastic optimization is the basic building block of mod...

11 Yongqiang Wang, et al. ∙

research

∙ 02/02/2022

Tailoring Gradient Methods for Differentially-Private Distributed Optimization

Decentralized optimization is gaining increased traction due to its wide...

0 Yongqiang Wang, et al. ∙

research

∙ 01/02/2022

Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs

Average consensus plays a key role in distributed networks, with applica...

0 Huan Gao, et al. ∙

research

∙ 09/27/2021

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

We summarize the results of a host of efforts using giant automatic spee...

1 Yu Zhang, et al. ∙

research

∙ 11/03/2020

Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition

Attention-based models have been gaining popularity recently for their s...

0 Ching-Feng Yeh, et al. ∙

research

∙ 10/30/2020

Streaming Simultaneous Speech Translation with Augmented Memory Transformer

Transformer-based models have achieved state-of-the-art performance on s...

0 Xutai Ma, et al. ∙

research

∙ 10/27/2020

Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications

In this paper, we summarize the application of transformer and its strea...

0 Yongqiang Wang, et al. ∙

research

∙ 10/21/2020

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition

This paper proposes an efficient memory transformer Emformer for low lat...

0 Yangyang Shi, et al. ∙

research

∙ 05/19/2020

Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces

In this work, we first show that on the widely used LibriSpeech benchmar...

0 Frank Zhang, et al. ∙

research

∙ 05/18/2020

Weak-Attention Suppression For Transformer Based Speech Recognition

Transformers, originally proposed for natural language processing (NLP) ...

0 Yangyang Shi, et al. ∙

research

∙ 05/16/2020

Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory

Transformer-based acoustic modeling has achieved great suc-cess for both...

0 Chunyang Wu, et al. ∙

research

∙ 11/22/2019

Improving N-gram Language Models with Pre-trained Deep Transformer

Although n-gram language models (LMs) have been outperformed by the stat...

0 Yiren Wang, et al. ∙

research

∙ 10/28/2019

Transformer-Transducer: End-to-End Speech Recognition with Self-Attention

We explore options to use Transformer networks in neural transducer for ...

0 Ching-Feng Yeh, et al. ∙

research

∙ 10/27/2019

Training ASR models by Generation of Contextual Information

Supervised ASR models have reached unprecedented levels of accuracy, tha...

0 Kritika Singh, et al. ∙

research

∙ 10/23/2019

Deja-vu: Double Feature Presentation in Deep Transformer Networks

Deep acoustic models typically receive features in the first layer of th...

0 Andros Tjandra, et al. ∙

research

∙ 10/22/2019

Transformer-based Acoustic Modeling for Hybrid Speech Recognition

We propose and evaluate transformer-based acoustic models (AMs) for hybr...

0 Yongqiang Wang, et al. ∙

research

∙ 10/16/2019

Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators

Decentralized heading control is crucial for robotic network operations ...

0 Timothy Anglea, et al. ∙

research

∙ 02/25/2019

Privacy-Preserving Average Consensus via State Decomposition

Average consensus underpins key functionalities of distributed systems r...

0 Yongqiang Wang, et al. ∙

research

∙ 12/05/2018

End-to-end contextual speech recognition using class language models and a token passing decoder

End-to-end modeling (E2E) of automatic speech recognition (ASR) blends a...

0 Zhehuai Chen, et al. ∙

research

∙ 02/23/2018

Towards end-to-end spoken language understanding

Spoken language understanding system is traditionally designed as a pipe...

0 Dmitriy Serdyuk, et al. ∙

Yongqiang Wang

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