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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...
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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...
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08/06/2023
Microvasculature Segmentation in Human BioMolecular Atlas Program (HuBMAP)
Image segmentation serves as a critical tool across a range of applicati...
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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 ...
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06/25/2023
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Distributed online learning is gaining increased traction due to its uni...
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06/22/2023
AudioPaLM: A Large Language Model That Can Speak and Listen
We introduce AudioPaLM, a large language model for speech understanding ...
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03/02/2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
We introduce the Universal Speech Model (USM), a single large model that...
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12/14/2022
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy
Privacy protection and nonconvexity are two challenging problems in dece...
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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...
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10/29/2022
Accelerating RNN-T Training and Inference Using CTC guidance
We propose a novel method to accelerate training and inference process o...
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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 ...
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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...
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09/03/2022
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence
The distributed computation of a Nash equilibrium in aggregative games i...
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08/07/2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization
By enabling multiple agents to cooperatively solve a global optimization...
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05/08/2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
Decentralized stochastic optimization is the basic building block of mod...
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02/02/2022
Tailoring Gradient Methods for Differentially-Private Distributed Optimization
Decentralized optimization is gaining increased traction due to its wide...
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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...
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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...
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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...
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10/30/2020
Streaming Simultaneous Speech Translation with Augmented Memory Transformer
Transformer-based models have achieved state-of-the-art performance on s...
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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...
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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...
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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...
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05/18/2020
Weak-Attention Suppression For Transformer Based Speech Recognition
Transformers, originally proposed for natural language processing (NLP) ...
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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...
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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...
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10/28/2019
Transformer-Transducer: End-to-End Speech Recognition with Self-Attention
We explore options to use Transformer networks in neural transducer for ...
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10/27/2019
Training ASR models by Generation of Contextual Information
Supervised ASR models have reached unprecedented levels of accuracy, tha...
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10/23/2019
Deja-vu: Double Feature Presentation in Deep Transformer Networks
Deep acoustic models typically receive features in the first layer of th...
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10/22/2019
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
We propose and evaluate transformer-based acoustic models (AMs) for hybr...
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10/16/2019
Decentralized Heading Control with Rate Constraints using Pulse-Coupled Oscillators
Decentralized heading control is crucial for robotic network operations ...
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02/25/2019
Privacy-Preserving Average Consensus via State Decomposition
Average consensus underpins key functionalities of distributed systems r...
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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...
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02/23/2018