| Training Data Expansion for Classification between Normal and Abnormal Lung Sounds | 0 | 0.34 | 2019 |
| Classification Between Abnormal and Normal Respiration Through Observation Rate of Heart Sounds Within Lung Sounds. | 0 | 0.34 | 2018 |
| Emotion-Cluster Classification of Infant Cries Using Sparse Representation. | 0 | 0.34 | 2018 |
| Distinction between healthy individuals and patients with confident abnormal respiration. | 0 | 0.34 | 2017 |
| Classification between normal and abnormal lung sounds using unsupervised subject-adaptation. | 1 | 0.36 | 2015 |
| Abnormal-respiration detection by considering correlation of observation of adventitious sounds | 1 | 0.36 | 2015 |
| Robust classification between normal and abnormal lung sounds using adventitious-sound and heart-sound models | 2 | 0.42 | 2014 |
| Classification of healthy subjects and patients with pulmonary emphysema using continuous respiratory sounds. | 2 | 0.40 | 2014 |
| Discrimination between healthy subjects and patients using lung sounds from multiple auscultation points. | 3 | 0.50 | 2013 |
| Detection of abnormal lung sounds taking into account duration distribution for adventitious sounds | 2 | 0.43 | 2012 |
| Emotion classification of infant cries with consideration for local and global features. | 0 | 0.34 | 2012 |
| Emotion Classification Of Infants' Cries Using Duration Ratios Of Acoustic Segments | 0 | 0.34 | 2011 |
| Discrimination between healthy subjects and patients with pulmonary emphysema by detection of abnormal respiration. | 5 | 0.68 | 2011 |
| Classification between normal and abnormal respiratory sounds based on maximum likelihood approach | 11 | 0.95 | 2009 |
| Children's speech recognition using elementary-school-student speech database | 0 | 0.34 | 2005 |
| Spectral cross-correlation features for audio indexing of broadcast news and meetings | 1 | 0.34 | 2005 |
| Audio source segmentation using spectral correlation features for automatic indexing of broadcast news | 3 | 0.42 | 2004 |
| Topic structure extraction for meeting indexing | 0 | 0.34 | 2004 |
| Multi-pass ASR using vocabulary expansion | 1 | 0.38 | 2004 |
| Speaker adaptation for non-native speakers using bilingual English lexicon and acoustic models | 0 | 0.34 | 2003 |
| Speech-based and video-supported indexing of multimedia broadcast news | 8 | 0.99 | 2003 |
| Improved phoneme-history-dependent search for large-vocabulary continuous-speech recognition | 1 | 0.36 | 2001 |
| Novel two-pass search strategy using time-asynchronous shortest-first second-pass beam search | 4 | 0.50 | 2000 |
| Improving Phoneme Classification Performance Using Observation Context–Dependent Segment Models | 2 | 0.47 | 2000 |
| A medical rehabilitation diagnoses transcription method that integrates continuous and isolated word recognition | 0 | 0.34 | 1999 |
| Speaker adaptation using maximum a posteriori probability estimation with data size-dependent parameter smoothing. | 0 | 0.34 | 1999 |
| Two-step generation of variable-word-length language model integrating local and global constraints | 0 | 0.34 | 1998 |
| Topic extraction with multiple topic-words in broadcast-news speech | 7 | 0.84 | 1998 |
| Acoustic observation context modeling in segment based speech recognition | 2 | 0.46 | 1998 |
| Variable-length language modeling integrating global constraints | 1 | 0.37 | 1997 |
| Speaker-Independent Speech Recognition Based On Tree-Structured Speaker Clustering | 19 | 1.19 | 1996 |
| Speaker adaptation using tree structured shared-state HMMs | 2 | 0.47 | 1996 |
| Speaker Adaptation Based On Transfer Vector Field Smoothing Using Maximum A Posteriori Probability Estimation | 29 | 2.82 | 1996 |
| Japanese Speech Databases For Robust Speech Recognition | 23 | 3.64 | 1996 |
| Speech Recognition Using Function-Word N-Grams And Content-Word N-Grams | 0 | 0.34 | 1995 |
| Speaker-Independent Phone Modeling Based On Speaker-Dependent Hmms Composition And Clustering | 6 | 0.94 | 1995 |
| Unsupervised Speaker Adaptation Using All-Phoneme Ergodic Hidden Markov Network | 0 | 0.34 | 1995 |
| Unsupervised Speaker Adaptation Using All-Phoneme Ergodic Hidden Markov Network. | 0 | 0.34 | 1995 |
| Towards non-uniform unit HMMs for speech recognition | 3 | 0.71 | 1995 |
| Speaking-style and speaker adaptation for the recognition of spontaneous dialogue speech | 0 | 0.34 | 1995 |
| Time-Synchronous Continuous Speech Recognizer Driven By A Context-Free Grammar | 1 | 0.43 | 1995 |
| Speech Recognition Using Function-Word N -Grams and Content-Word N -Grams. | 0 | 0.34 | 1995 |
| Continuous speech recognition using non-uniform unit based acoustic and language models | 0 | 0.34 | 1995 |
| Detection of unknown words using garbage cluster models for continuous speech recognition | 1 | 0.39 | 1995 |
| Speaker adaptation fitting training data size and contents | 1 | 0.44 | 1995 |
| Non-uniform unit based HMMs for continuous speech recognition | 1 | 1.72 | 1995 |
| Speaker-Consistent Parsing for Speaker-Independent Continuous Speech Recognition. | 0 | 0.34 | 1995 |
| Tree-structured speaker clustering for speaker-independent continuous speech recognition | 7 | 0.92 | 1994 |
| A speech-to-text transcription system for medical diagnoses | 1 | 0.43 | 1994 |
| Dictation Machine Based on Japanese Character Source Modeling | 0 | 0.34 | 1994 |
