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06/14/2021
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
In this paper, we introduce the Kaizen framework that uses a continuousl...
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11/09/2020
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR
In this work, to measure the accuracy and efficiency for a latency-contr...
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11/05/2020
Improving RNN Transducer Based ASR with Auxiliary Tasks
End-to-end automatic speech recognition (ASR) models with a single neura...
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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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05/16/2020
Large scale weakly and semi-supervised learning for low-resource video ASR
Many semi- and weakly-supervised approaches have been investigated for o...
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05/15/2020
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model
Videos uploaded on social media are often accompanied with textual descr...
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03/09/2020
Multi-modal Self-Supervision from Generalized Data Transformations
Self-supervised learning has advanced rapidly, with several results beat...
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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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10/02/2019
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition
There is an implicit assumption that traditional hybrid approaches for a...
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09/14/2019
Multilingual ASR with Massive Data Augmentation
Towards developing high-performing ASR for low-resource languages, appro...
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02/10/2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
End-to-end learning of recurrent neural networks (RNNs) is an attractive...
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06/03/2016
An Attentional Neural Conversation Model with Improved Specificity
In this paper we propose a neural conversation model for conducting dial...
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06/03/2016
End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning
This paper presents a model for end-to-end learning of task-oriented dia...
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10/29/2015
Attention with Intention for a Neural Network Conversation Model
In a conversation or a dialogue process, attention and intention play in...
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05/07/2015
Language Models for Image Captioning: The Quirks and What Works
Two recent approaches have achieved state-of-the-art results in image ca...
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11/18/2014