2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Latest Publications

TOTAL DOCUMENTS

112

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Published By IEEE

9781509047888

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Cross-domain speech recognition using nonparallel corpora with cycle-consistent adversarial networks

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268927 ◽

2017 ◽

Cited By ~ 9

Author(s):

Masato Mimura ◽

Shinsuke Sakai ◽

Tatsuya Kawahara

Keyword(s):

Speech Recognition ◽

Adversarial Networks ◽

Cross Domain

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Exploring the use of acoustic embeddings in neural machine translation

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268971 ◽

2017 ◽

Cited By ~ 2

Author(s):

Salil Deena ◽

Raymond W. M. Ng ◽

Pranava Madhyastha ◽

Lucia Specia ◽

Thomas Hain

Keyword(s):

Machine Translation ◽

Neural Machine Translation

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The blizzard machine learning challenge 2017

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268954 ◽

2017 ◽

Cited By ~ 2

Author(s):

Kei Sawada ◽

Keiichi Tokuda ◽

Simon King ◽

Alan W Black

Keyword(s):

Machine Learning

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Investigation of transfer learning for ASR using LF-MMI trained neural networks

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268947 ◽

2017 ◽

Cited By ~ 14

Author(s):

Pegah Ghahremani ◽

Vimal Manohar ◽

Hossein Hadian ◽

Daniel Povey ◽

Sanjeev Khudanpur

Keyword(s):

Neural Networks ◽

Transfer Learning

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Attention-based Wav2Text with feature transfer learning

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268951 ◽

2017 ◽

Cited By ~ 5

Author(s):

Andros Tjandra ◽

Sakriani Sakti ◽

Satoshi Nakamura

Keyword(s):

Transfer Learning

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Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268911 ◽

2017 ◽

Cited By ~ 17

Author(s):

Wei-Ning Hsu ◽

Yu Zhang ◽

James Glass

Keyword(s):

Speech Recognition ◽

Data Augmentation ◽

Domain Adaptation ◽

Robust Speech Recognition ◽

Unsupervised Domain Adaptation ◽

Variational Autoencoder

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Language diarization for semi-supervised bilingual acoustic model training

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268921 ◽

2017 ◽

Cited By ~ 1

Author(s):

Emre Yilmaz ◽

Mitchell McLaren ◽

Henk van den Heuvel ◽

David A. van Leeuwen

Keyword(s):

Acoustic Model ◽

Model Training

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An embedded segmental K-means model for unsupervised segmentation and clustering of speech

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8269008 ◽

2017 ◽

Cited By ~ 7

Author(s):

Herman Kamper ◽

Karen Livescu ◽

Sharon Goldwater

Keyword(s):

Unsupervised Segmentation

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ONENET: Joint domain, intent, slot prediction for spoken language understanding

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268984 ◽

2017 ◽

Cited By ~ 3

Author(s):

Young-Bum Kim ◽

Sungjin Lee ◽

Karl Stratos

Keyword(s):

Spoken Language ◽

Language Understanding ◽

Spoken Language Understanding

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Future word contexts in neural network language models

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru.2017.8268922 ◽

2017 ◽

Cited By ~ 5

Author(s):

X. Chen ◽

X. Liu ◽

A. Ragni ◽

Y. Wang ◽

M. J. F. Gales

Keyword(s):

Neural Network ◽

Language Models ◽

Network Language

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2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Cross-domain speech recognition using nonparallel corpora with cycle-consistent adversarial networks

Exploring the use of acoustic embeddings in neural machine translation

The blizzard machine learning challenge 2017

Investigation of transfer learning for ASR using LF-MMI trained neural networks

Attention-based Wav2Text with feature transfer learning

Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation

Language diarization for semi-supervised bilingual acoustic model training

An embedded segmental K-means model for unsupervised segmentation and clustering of speech

ONENET: Joint domain, intent, slot prediction for spoken language understanding

Future word contexts in neural network language models

2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Latest Publications