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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...
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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...
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04/26/2021
Identifying Actions for Sound Event Classification
In Psychology, actions are paramount for humans to perceive and separate...
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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...
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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)...
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06/13/2019
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments
Speech recognition in cocktail-party environments remains a significant ...
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11/27/2018
Speaker Diarization With Lexical Information
This work presents a novel approach to leverage lexical information for ...
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10/07/2018
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention
Deep neural networks, including recurrent networks, have been successful...
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05/30/2018
Adversarial Learning of Task-Oriented Neural Dialog Models
In this work, we propose an adversarial learning method for reward estim...
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01/22/2018
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition
Labeled data used for training activity recognition classifiers are usua...
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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...
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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...
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11/22/2017
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models
Dialog response selection is an important step towards natural response ...
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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...
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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...
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01/15/2017
Dialog Context Language Modeling with Recurrent Neural Networks
In this work, we propose contextual language models that incorporate dia...
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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...
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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...
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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...
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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...
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07/12/2016
City-Identification of Flickr Videos Using Semantic Acoustic Features
City-identification of videos aims to determine the likelihood of a vide...
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01/11/2016
Environmental Noise Embeddings for Robust Speech Recognition
We propose a novel deep neural network architecture for speech recogniti...
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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...
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04/07/2015
Transferring Knowledge from a RNN to a DNN
Deep Neural Network (DNN) acoustic models have yielded many state-of-the...
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04/07/2015