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09/20/2023
Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff
Blockwise self-attentional encoder models have recently emerged as one p...
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09/08/2023
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models
Natural-language dialog is key for intuitive human-robot interaction. It...
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05/05/2023
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
In many humanitarian scenarios, translation into severely low resource l...
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05/24/2022
Adaptive multilingual speech recognition with pretrained models
Multilingual speech recognition with supervised learning has achieved gr...
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08/16/2021
Active Learning for Massively Parallel Translation of Constrained Text into Low Resource Languages
We translate a closed text that is known in advance and available in man...
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04/12/2021
Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation
We translate a closed text that is known in advance into a severely low ...
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10/07/2020
Super-Human Performance in Online Low-latency Recognition of Conversational Speech
Achieving super-human performance in recognizing human speech has been a...
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04/08/2020
Error-correction and extraction in request dialogs
We propose a component that gets a request and a correction and outputs ...
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03/22/2020
High Performance Sequence-to-Sequence Model for Streaming Speech Recognition
Recently sequence-to-sequence models have started to achieve state-of-th...
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03/22/2020
Low Latency ASR for Simultaneous Speech Translation
User studies have shown that reducing the latency of our simultaneous le...
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03/09/2020
Toward Cross-Domain Speech Recognition with End-to-End Models
In the area of multi-domain speech recognition, research in the past foc...
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12/09/2019
An Interactive Indoor Drone Assistant
With the rapid advance of sophisticated control algorithms, the capabili...
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11/29/2019
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models
Speech emotion recognition is a challenging task and an important step t...
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11/07/2019
Low-Resource Machine Translation using Interlinear Glosses
Neural Machine Translation (NMT) does not handle low-resource translatio...
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10/29/2019
Improving sequence-to-sequence speech recognition training with on-the-fly data augmentation
Sequence-to-Sequence (S2S) models recently started to show state-of-the-...
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09/30/2019
Incremental processing of noisy user utterances in the spoken language understanding task
The state-of-the-art neural network architectures make it possible to cr...
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06/20/2019
Improving Zero-shot Translation with Language-Independent Constraints
An important concern in training multilingual neural machine translation...
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06/04/2019
Self-Attentional Models for Lattice Inputs
Lattices are an efficient and effective method to encode ambiguity of up...
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06/03/2019
Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Spoken language translation applications for speech suffer due to conver...
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04/30/2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition
Recently, end-to-end sequence-to-sequence models for speech recognition ...
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04/15/2019
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Speech translation has traditionally been approached through cascaded mo...
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03/31/2019
Learning Shared Encoding Representation for End-to-End Speech Recognition Models
In this work, we learn a shared encoding representation for a multi-task...
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02/02/2019
Using multi-task learning to improve the performance of acoustic-to-word and conventional hybrid models
Acoustic-to-word (A2W) models that allow direct mapping from acoustic si...
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12/17/2018
Multi-task learning to improve natural language understanding
Recently advancements in sequence-to-sequence neural network architectur...
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11/07/2018
Towards Fluent Translations from Disfluent Speech
When translating from speech, special consideration for conversational s...
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09/10/2018
Towards one-shot learning for rare-word translation with external experts
Neural machine translation (NMT) has significantly improved the quality ...
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08/25/2018
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Using paraphrases, the expression of the same semantic meaning in differ...
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08/01/2018
Low-Latency Neural Speech Translation
Through the development of neural machine translation, the quality of ma...
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07/27/2018
A Hierarchical Approach to Neural Context-Aware Modeling
We present a new recurrent neural network topology to enhance state-of-t...
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07/07/2018
Robust and Scalable Differentiable Neural Computer for Question Answering
Deep learning models are often not easily adaptable to new tasks and req...
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07/05/2018
Neural Language Codes for Multilingual Acoustic Models
Multilingual Speech Recognition is one of the most costly AI problems, b...
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04/21/2018
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
We work on translation from rich-resource languages to low-resource lang...
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03/26/2018
Self-Attentional Acoustic Models
Self-attention is a method of encoding sequences of vectors by relating ...
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03/23/2018
Automated Evaluation of Out-of-Context Errors
We present a new approach to evaluate computational models for the task ...
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03/06/2018
An End-to-End Goal-Oriented Dialog System with a Generative Natural Language Response Generation
Recently advancements in deep learning allowed the development of end-to...
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12/19/2017
Subword and Crossword Units for CTC Acoustic Models
This paper proposes a novel approach to create an unit set for CTC based...
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11/13/2017
Multilingual Adaptation of RNN Based ASR Systems
A large amount of data is required for automatic speech recognition (ASR...
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11/13/2017
Phonemic and Graphemic Multilingual CTC Based Speech Recognition
Training automatic speech recognition (ASR) systems requires large amoun...
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09/15/2017
Transcribing Against Time
We investigate the problem of manually correcting errors from an automat...
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08/15/2017
Comparison of Decoding Strategies for CTC Acoustic Models
Connectionist Temporal Classification has recently attracted a lot of in...
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08/02/2017
Analyzing Neural MT Search and Model Performance
In this paper, we offer an in-depth analysis about the modeling and sear...
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06/02/2017
Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor
Using supporting backchannel (BC) cues can make human-computer interacti...
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04/03/2017
Neural Lattice-to-Sequence Models for Uncertain Inputs
The input to a neural sequence-to-sequence model is often determined by ...
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10/17/2016
Pre-Translation for Neural Machine Translation
Recently, the development of neural machine translation (NMT) has signif...
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04/28/2015