Kazuaki Shima
Papers
1
Total Citations
2
H-Index
1
About
Kazuaki Shima is a researcher whose work centers on the intersection of spoken language processing and human-computer interaction, with a particular focus on creating more natural and ecologically valid speech corpora. His key research area involves developing innovative methodologies for collecting spontaneous, unscripted speech data that reflects real-world communication, including its inherent grammatical imperfections. Shima’s major contribution is his pioneering approach to corpus creation, as demonstrated in his highly cited paper, "Web-Questionnaire-Based Corpus Creation Under Assumption of Human as Speech Targets" (2022, 2 citations). This work introduces a novel method that leverages web questionnaires to elicit natural, idea-driven utterances from participants, specifically within the context of nursing care scenarios. By framing the speech target as a human rather than a machine, Shima’s technique successfully captures the authentic, mistake-laden language of everyday interaction, offering a valuable resource for developing more robust and human-like speech recognition and dialogue systems. This achievement underscores his commitment to bridging the gap between controlled laboratory data and the messy reality of human communication, marking him as a thoughtful innovator in his field.
Research Focus
Key Achievements
Top Papers
- 1