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Short‐term impacts of lateral hydrological connectivity restoration on aquatic macroinvertebrates

River research and applications, 2014-06, Vol.30 (5), p.557-570

2014

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Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language

IEEE transactions on audio, speech, and language processing, 2009-11, Vol.17 (8), p.1471-1482

2009

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A neural approach for inducing multilingual resources and natural language processing tools for low-resource languages

Natural language engineering, 2019-01, Vol.25 (1), p.43-67

2019

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Information extraction from sound for medical telemonitoring

IEEE journal of biomedical and health informatics, 2006-04, Vol.10 (2), p.264-274

2006

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Variational Inference for Acoustic Unit Discovery

Procedia computer science, 2016, Vol.81, p.80-86

2016

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Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique

Advances in electrical and computer engineering, 2015-01, Vol.15 (1), p.63-68

2015

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Investigating Bilingual Deep Neural Networks for Automatic Recognition of Code-switching Frisian Speech

Procedia computer science, 2016, Vol.81, p.159-166

2016

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Breaking the Unwritten Language Barrier: The BULB Project

Procedia computer science, 2016, Vol.81, p.8-14

2016

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The Zero Resource Speech Challenge 2015: Proposed Approaches and Results

Procedia computer science, 2016, Vol.81, p.67-72

2016

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Parallel Speech Collection for Under-resourced Language Studies Using the Lig-Aikuma Mobile Device App

Procedia computer science, 2016, Vol.81, p.61-66

2016

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Comparison and Combination of Lightly Supervised Approaches for Language Portability of a Spoken Language Understanding System

IEEE transactions on audio, speech, and language processing, 2013-03, Vol.21 (3), p.636-648

2013

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Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario

Procedia computer science, 2016, Vol.81, p.73-79

2016

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Spoken Language Identification with Phonotactics Methods on Minangkabau, Sundanese, and Javanese Languages

Procedia computer science, 2016, Vol.81, p.182-187

2016

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Physiological and Cognitive Status Monitoring on the Base of Acoustic-Phonetic Speech Parameters

Statistical Language and Speech Processing, p.120-131

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Indonesian Named-entity Recognition for 15 Classes Using Ensemble Supervised Learning

Procedia computer science, 2016, Vol.81, p.221-228

2016

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A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Statistical Language and Speech Processing, p.199-210

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Exploring Multidimensional Continuous Feature Space to Extract Relevant Words

Statistical Language and Speech Processing, p.159-170

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Towards Robust Indonesian Speech Recognition with Spontaneous-Speech Adapted Acoustic Models

Procedia computer science, 2016, Vol.81, p.167-173

2016

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Automatic Speech Recognition for African Languages with Vowel Length Contrast

Procedia computer science, 2016, Vol.81, p.136-143

2016

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A Study of Statistical Machine Translation Methods for Under Resourced Languages

Procedia computer science, 2016, Vol.81, p.250-257

2016

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Automatic Speech Recognition of English-isiZulu Code-switched Speech from South African Soap Operas

Procedia computer science, 2016, Vol.81, p.121-127

2016

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Lithuanian Broadcast Speech Transcription Using Semi-supervised Acoustic Model Training

Procedia computer science, 2016, Vol.81, p.107-113

2016

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Localization and selection of speaker-specific information with statistical modeling

Speech communication, 2000-06, Vol.31 (2), p.89-106

2000

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A Temporal Coherence Loss Function for Learning Unsupervised Acoustic Embeddings

Procedia computer science, 2016, Vol.81, p.95-100

2016

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Mismatched Crowdsourcing based Language Perception for Under-resourced Languages

Procedia computer science, 2016, Vol.81, p.23-29

2016

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Short‐term impacts of lateral hydrological connectivity restoration on aquatic macroinvertebrates

Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language

A neural approach for inducing multilingual resources and natural language processing tools for low-resource languages

Information extraction from sound for medical telemonitoring

Variational Inference for Acoustic Unit Discovery

Enhancing ASR Systems for Under-Resourced Languages through a Novel Unsupervised Acoustic Model Training Technique

Investigating Bilingual Deep Neural Networks for Automatic Recognition of Code-switching Frisian Speech

Breaking the Unwritten Language Barrier: The BULB Project

The Zero Resource Speech Challenge 2015: Proposed Approaches and Results

Parallel Speech Collection for Under-resourced Language Studies Using the Lig-Aikuma Mobile Device App

Comparison and Combination of Lightly Supervised Approaches for Language Portability of a Spoken Language Understanding System

Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario

Spoken Language Identification with Phonotactics Methods on Minangkabau, Sundanese, and Javanese Languages

Physiological and Cognitive Status Monitoring on the Base of Acoustic-Phonetic Speech Parameters

Indonesian Named-entity Recognition for 15 Classes Using Ensemble Supervised Learning

A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Exploring Multidimensional Continuous Feature Space to Extract Relevant Words

Towards Robust Indonesian Speech Recognition with Spontaneous-Speech Adapted Acoustic Models

Automatic Speech Recognition for African Languages with Vowel Length Contrast

A Study of Statistical Machine Translation Methods for Under Resourced Languages

Automatic Speech Recognition of English-isiZulu Code-switched Speech from South African Soap Operas

Lithuanian Broadcast Speech Transcription Using Semi-supervised Acoustic Model Training

Localization and selection of speaker-specific information with statistical modeling

A Temporal Coherence Loss Function for Learning Unsupervised Acoustic Embeddings

Mismatched Crowdsourcing based Language Perception for Under-resourced Languages

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