| End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality | 0 | 0.34 | 2021 |
| Supporting Vine Vegetation Status Observation Using AR | 0 | 0.34 | 2021 |
| Semi-Supervised Learning for Aspect-Based Sentiment Analysis | 0 | 0.34 | 2021 |
| Development of a Low-Latency and Real-Time Automatic Speech Recognition System. | 0 | 0.34 | 2020 |
| ExKaldi - A Python-based Extension Tool of Kaldi. | 0 | 0.34 | 2020 |
| Improving Speech Recognition for the Elderly - A New Corpus of Elderly Japanese Speech and Investigation of Acoustic Modeling for Speech Recognition. | 0 | 0.34 | 2020 |
| Integrating Disfluency-based and Prosodic Features with Acoustics in Automatic Fluency Evaluation of Spontaneous Speech. | 0 | 0.34 | 2020 |
| Audio Classification of Bit-Representation Waveform. | 0 | 0.34 | 2019 |
| Bert Based Web Mining Of Concerns And Reviews For Tv Drama Audience | 0 | 0.34 | 2019 |
| A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes. | 1 | 0.36 | 2019 |
| Audio Classification of Bit-Representation Waveform. | 0 | 0.34 | 2019 |
| Construction of a Corpus for Elderly Japanese Speech Recognition. | 0 | 0.34 | 2018 |
| A Task Manual Creation Support System Using Automatic Speech Recognition. | 0 | 0.34 | 2018 |
| Parallel Hierarchical Attention Networks With Shared Memory Reader For Multi-Stream Conversational Document Classification | 1 | 0.35 | 2017 |
| Emotion classification of spontaneous speech using spoken term detection. | 0 | 0.34 | 2017 |
| Data augmentation and feature extraction using variational autoencoder for acoustic modeling. | 0 | 0.34 | 2017 |
| Acoustic modeling with a shared phoneme set for multilingual speech recognition without code-switching. | 0 | 0.34 | 2017 |
| Re-Ranking Approach Of Spoken Term Detection Using Conditional Random Fields-Based Triphone Detection | 0 | 0.34 | 2016 |
| Spoken Term Detection Using Svm-Based Classifier Trained With Pre-Indexed Keywords | 0 | 0.34 | 2016 |
| Two-Step Spoken Term Detection Using Svm Classifier Trained With Pre-Indexed Keywords Based On Asr Result | 0 | 0.34 | 2015 |
| Score normalization using phoneme-based entropy for spoken term detection. | 0 | 0.34 | 2015 |
| Overview of the NTCIR-11 SpokenQuery&Doc task | 16 | 1.07 | 2014 |
| Combination of DTW-based and CRF-based Spoken Term Detection on the NTCIR-11 SpokenQuery&Doc SQ-STD Subtask. | 0 | 0.34 | 2014 |
| Selection of best match keyword using spoken term detection for spoken document indexing | 0 | 0.34 | 2014 |
| Evaluation of the usefulness of spoken term detection in an electronic note-taking support system. | 2 | 0.39 | 2013 |
| Spoken Term Detection Using Phoneme Transition Network from Multiple Speech Recognizers' Outputs. | 8 | 0.61 | 2013 |
| Overview of the NTCIR-10 SpokenDoc-2 Task. | 21 | 1.59 | 2013 |
| Entropy-based false detection filtering in spoken term detection tasks. | 3 | 0.39 | 2013 |
| Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task. | 4 | 1.38 | 2012 |
| Utterance verification using garbage words for a hospital appointment system with speech interface | 1 | 0.36 | 2011 |
| Overview of the IR for Spoken Documents Task in NTCIR-9 Workshop | 40 | 5.26 | 2011 |
| Spoken term detection using multiple speech recognizers’ outputs at NTCIR-9 SpokenDoc STD subtask | 11 | 1.29 | 2011 |
| Construction of a Test Collection for Spoken Document Retrieval from Lecture Audio Data | 6 | 0.59 | 2009 |
| Developing Corpus of Japanese Classroom Lecture Speech Contents | 3 | 0.44 | 2008 |
| Is A Speech Recognizer Useful For Characteristic Analysis Of Classroom Lecture Speech? | 0 | 0.34 | 2008 |
| Test Collections for Spoken Document Retrieval from Lecture Audio Data. | 5 | 0.68 | 2008 |
| Speech Recognition Performance Of Cjlc: Corpus Of Japanese Lecture Contents | 2 | 0.36 | 2008 |
| Word error correction of continuous speech recognition using WEB documents for spoken document indexing | 2 | 0.41 | 2006 |
| An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems | 2 | 0.37 | 2005 |
| Combining outputs of multiple LVCSR models by machine learning | 1 | 0.39 | 2005 |
| Improving Keyword Recognition of Spoken Queries by Combining Multiple Speech Recognizer's Outputs for Speech-driven WEB Retrieval Task | 0 | 0.34 | 2005 |
| Robust spoken document retrieval methods for misrecognition and out-of-vocabulary keywords | 1 | 0.36 | 2004 |
| An empirical study on multiple LVCSR model combination by machine learning | 6 | 0.92 | 2004 |
| Unsupervised speaker adaptation using high confidence portion recognition results by multiple recognition systems | 4 | 0.52 | 2004 |
| Keyword recognition and extraction by multiple-LVCSRs with 60, 000 words in speech-driven WEB retrieval task | 2 | 0.40 | 2004 |
| Estimating high-confidence portions based on agreement among outputs of multiple LVCSR models | 2 | 0.41 | 2004 |
| Evaluating multiple LVCSR model combination in NTCIR-3 speech-driven web retrieval task | 4 | 0.59 | 2003 |
| A confidence measure based on agreement among multiple LVCSR models - correlation between pair of acoustic models and confidence | 4 | 0.52 | 2002 |
| Comparing isolately spoken keywords with spontaneously spoken queries for Japanese spoken document retrieval | 2 | 0.37 | 2002 |
| Experimental evaluation on confidence of agreement among multiple Japanese LVCSR models | 6 | 0.56 | 2001 |
