Ian Lane | DeepAI

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67 publications
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∙ 07/11/2022

Online Continual Learning of End-to-End Speech Recognition Models

Continual Learning, also known as Lifelong Learning, aims to continually...

0 Muqiao Yang, et al. ∙

∙ 07/06/2022

Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding

Conformer has proven to be effective in many speech processing tasks. It...

0 Yifan Peng, et al. ∙

∙ 04/26/2021

Identifying Actions for Sound Event Classification

In Psychology, actions are paramount for humans to perceive and separate...

0 Benjamin Elizalde, et al. ∙

∙ 07/31/2019

Learning Question-Guided Video Representation for Multi-Turn Video Question Answering

Understanding and conversing about dynamic scenes is one of the key capa...

0 Guan-Lin Chao, et al. ∙

∙ 07/05/2019

BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer

An important yet rarely tackled problem in dialogue state tracking (DST)...

0 Guan-Lin Chao, et al. ∙

∙ 06/13/2019

Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments

Speech recognition in cocktail-party environments remains a significant ...

0 Guan-Lin Chao, et al. ∙

∙ 11/27/2018

Speaker Diarization With Lexical Information

This work presents a novel approach to leverage lexical information for ...

0 Tae Jin Park, et al. ∙

∙ 10/07/2018

Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention

Deep neural networks, including recurrent networks, have been successful...

0 Ming Zeng, et al. ∙

∙ 05/30/2018

Adversarial Learning of Task-Oriented Neural Dialog Models

In this work, we propose an adversarial learning method for reward estim...

0 Bing Liu, et al. ∙

∙ 01/22/2018

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition

Labeled data used for training activity recognition classifiers are usua...

0 Ming Zeng, et al. ∙

∙ 12/29/2017

The CAPIO 2017 Conversational Speech Recognition System

In this paper we show how we have achieved the state-of-the-art performa...

0 Kyu J. Han, et al. ∙

∙ 11/30/2017

Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding

The goal of this paper is to learn cross-domain representations for slot...

0 Bing Liu, et al. ∙

∙ 11/22/2017

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models

Dialog response selection is an important step towards natural response ...

0 Bing Liu, et al. ∙

∙ 09/18/2017

Iterative Policy Learning in End-to-End Trainable Task-Oriented Neural Dialog Models

In this paper, we present a deep reinforcement learning (RL) framework f...

0 Bing Liu, et al. ∙

∙ 08/20/2017

An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog

We present a novel end-to-end trainable neural network model for task-or...

0 Bing Liu, et al. ∙

∙ 01/15/2017

Dialog Context Language Modeling with Recurrent Neural Networks

In this work, we propose contextual language models that incorporate dia...

0 Bing Liu, et al. ∙

∙ 09/06/2016

Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks

Speaker intent detection and semantic slot filling are two critical task...

0 Bing Liu, et al. ∙

∙ 09/06/2016

Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling

Attention-based encoder-decoder neural network models have recently show...

0 Bing Liu, et al. ∙

∙ 07/22/2016

Experiments on the DCASE Challenge 2016: Acoustic Scene Classification and Sound Event Detection in Real Life Recording

In this paper we present our work on Task 1 Acoustic Scene Classi- ficat...

0 Benjamin Elizalde, et al. ∙

∙ 07/13/2016

AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis

Recently, sound recognition has been used to identify sounds, such as ca...

0 Sebastian Sager, et al. ∙

∙ 07/12/2016

City-Identification of Flickr Videos Using Semantic Acoustic Features

City-identification of videos aims to determine the likelihood of a vide...

0 Benjamin Elizalde, et al. ∙

∙ 01/11/2016

Environmental Noise Embeddings for Robust Speech Recognition

We propose a novel deep neural network architecture for speech recogniti...

0 Suyoun Kim, et al. ∙

∙ 11/19/2015

Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition

Integration of multiple microphone data is one of the key ways to achiev...

0 Suyoun Kim, et al. ∙

∙ 04/07/2015

Transferring Knowledge from a RNN to a DNN

Deep Neural Network (DNN) acoustic models have yielded many state-of-the...

0 William Chan, et al. ∙

∙ 04/07/2015

Deep Recurrent Neural Networks for Acoustic Modelling

We present a novel deep Recurrent Neural Network (RNN) model for acousti...

0 William Chan, et al. ∙

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