Search Results for author: Yongqiang Wang

Found 21 papers, 2 papers with code

Decentralized Stochastic Optimization with Inherent Privacy Protection

no code implementations8 May 2022 Yongqiang Wang, H. Vincent Poor

Decentralized stochastic optimization is the basic building block of modern collaborative machine learning, distributed estimation and control, and large-scale sensing.

Stochastic Optimization

Unsupervised Data Selection via Discrete Speech Representation for ASR

no code implementations5 Apr 2022 Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani

Self-supervised learning of speech representations has achieved impressive results in improving automatic speech recognition (ASR).

Automatic Speech Recognition Self-Supervised Learning

Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

2 code implementations12 May 2021 Dong Chen, Zhaojian Li, Mohammad Hajidavalloo, Kaian Chen, Yongqiang Wang, Longsheng Jiang, Yue Wang

On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed traffic where AVs coexist with human-driven vehicles (HDVs).

Autonomous Vehicles Multi-agent Reinforcement Learning +1

Large topological Hall effect near room temperature in noncollinear ferromagnet LaMn2Ge2 single crystal

no code implementations11 Feb 2021 Gaoshang Gong, Longmeng Xu, Yuming Bai, Yongqiang Wang, Songliu Yuan, Yong liu, Zhaoming Tian

Non-trivial spin structures in itinerant magnets can give rise to topological Hall effect (THE) due to the interacting local magnetic moments and conductive electrons.

Strongly Correlated Electrons

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

no code implementations3 Nov 2020 Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer

Attention-based models have been gaining popularity recently for their strong performance demonstrated in fields such as machine translation and automatic speech recognition.

Automatic Speech Recognition Machine Translation +1

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

no code implementations21 Oct 2020 Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer

For a low latency scenario with an average latency of 80 ms, Emformer achieves WER $3. 01\%$ on test-clean and $7. 09\%$ on test-other.

Speech Recognition

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces

no code implementations19 May 2020 Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

In this work, we first show that on the widely used LibriSpeech benchmark, our transformer-based context-dependent connectionist temporal classification (CTC) system produces state-of-the-art results.

Frame Speech Recognition

Weak-Attention Suppression For Transformer Based Speech Recognition

no code implementations18 May 2020 Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer

Transformers, originally proposed for natural language processing (NLP) tasks, have recently achieved great success in automatic speech recognition (ASR).

Automatic Speech Recognition

Global Synchronization of Pulse-Coupled Oscillator Networks Under Byzantine Attacks

no code implementations7 May 2020 Zhenqian Wang, Yongqiang Wang

Given the distributed and unattended nature of wireless sensor networks, it is imperative to enhance the resilience of PCO synchronization against malicious attacks.

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

no code implementations22 Nov 2019 Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng

Although n-gram language models (LMs) have been outperformed by the state-of-the-art neural LMs, they are still widely used in speech recognition due to its high efficiency in inference.

Data Augmentation Speech Recognition +1

Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks

no code implementations23 Oct 2019 Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

As our motivation is to allow acoustic models to re-examine their input features in light of partial hypotheses we introduce intermediate model heads and loss function.

Robust Almost Global Splay State Stabilization of Pulse Coupled Oscillators

no code implementations2 Aug 2019 Francesco Ferrante, Yongqiang Wang

This technical note deals with the problem of asymptotically stabilizing the splay state configuration of a network of identical pulse coupled oscillators through the design of the their phase response function.

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

no code implementations5 Dec 2018 Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen

In this work, we focus on contextual speech recognition, which is particularly challenging for E2E models because it introduces significant mismatch between training and test data.

Automatic Speech Recognition

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