1993 - IEEE Fellow For contributions to speech analysis, speech recognition, and speaker identification.
His primary scientific interests are in Speech recognition, Artificial intelligence, Natural language processing, Speaker recognition and Hidden Markov model. His work is connected to Speech processing, Word error rate, Speech coding, Acoustic model and Cepstrum, as a part of Speech recognition. His Word error rate research is multidisciplinary, relying on both Word recognition, Feature selection and Linear predictive coding.
His Artificial intelligence research includes elements of Set and Pattern recognition. His Natural language processing research includes themes of Word, Grammar and Spontaneous speech. His study in Speaker recognition is interdisciplinary in nature, drawing from both Normalization, Feature and Vocabulary.
Sadaoki Furui mainly investigates Speech recognition, Artificial intelligence, Natural language processing, Hidden Markov model and Pattern recognition. His Speech recognition study is mostly concerned with Speaker recognition, Speech processing, Language model, Word error rate and Acoustic model. The Word error rate study combines topics in areas such as Transcription and Word recognition.
His Artificial intelligence study frequently draws connections between related disciplines such as Noise. His work deals with themes such as Vocabulary and Set, which intersect with Natural language processing. His Hidden Markov model study incorporates themes from Cepstrum, Markov model and Robustness.
The scientist’s investigation covers issues in Speech recognition, Artificial intelligence, Natural language processing, Pattern recognition and Hidden Markov model. Sadaoki Furui has included themes like Vocabulary and Adaptation in his Speech recognition study. His research investigates the connection between Artificial intelligence and topics such as Identification that intersect with problems in Variation.
His research in the fields of Language model overlaps with other disciplines such as Character. His research in Pattern recognition intersects with topics in Robustness and Noise. Sadaoki Furui interconnects Cross-validation and Word error rate in the investigation of issues within Hidden Markov model.
Sadaoki Furui focuses on Speech recognition, Artificial intelligence, Natural language processing, Hidden Markov model and Pattern recognition. His Speech recognition study combines topics from a wide range of disciplines, such as Variable and Vocabulary. His Artificial intelligence study integrates concerns from other disciplines, such as Algorithm and Machine learning.
The study incorporates disciplines such as Speech corpus and Information retrieval in addition to Natural language processing. Sadaoki Furui has researched Hidden Markov model in several fields, including Automatic summarization, Acoustic model and Adaptation. In his research, Word error rate and Reduction is intimately related to Cross-validation, which falls under the overarching field of Pattern recognition.
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Cepstral analysis technique for automatic speaker verification
IEEE Transactions on Acoustics, Speech, and Signal Processing (1981)
Speaker-independent isolated word recognition using dynamic features of speech spectrum
IEEE Transactions on Acoustics, Speech, and Signal Processing (1986)
Digital Speech Processing, Synthesis, and Recognition
Recent advances in speaker recognition
Pattern Recognition Letters (1997)
Spontaneous Speech Corpus of Japanese
Kikuo Maekawa;Hanae Koiso;Sadaoki Furui;Hitoshi Isahara.
language resources and evaluation (2000)
On the role of spectral transition for speech perception
Journal of the Acoustical Society of America (1986)
Comparison of text-independent speaker recognition methods using VQ-distortion and discrete/continuous HMM's
T. Matsui;S. Furui.
IEEE Transactions on Speech and Audio Processing (1994)
An Overview of Speaker Recognition Technology
Advances in Speech Signal Processing
Sadaoki Furui;M. Mohan Sondhi.
Concatenated phoneme models for text-variable speaker recognition
T. Matsui;S. Furui.
international conference on acoustics, speech, and signal processing (1993)
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