Tetsuya Takiguchi


2022

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Building a Knowledge-Based Dialogue System with Text Infilling
Qiang Xue | Tetsuya Takiguchi | Yasuo Ariki
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue

In recent years, generation-based dialogue systems using state-of-the-art (SoTA) transformer-based models have demonstrated impressive performance in simulating human-like conversations. To improve the coherence and knowledge utilization capabilities of dialogue systems, knowledge-based dialogue systems integrate retrieved graph knowledge into transformer-based models. However, knowledge-based dialog systems sometimes generate responses without using the retrieved knowledge. In this work, we propose a method in which the knowledge-based dialogue system can constantly utilize the retrieved knowledge using text infilling . Text infilling is the task of predicting missing spans of a sentence or paragraph. We utilize this text infilling to enable dialog systems to fill incomplete responses with the retrieved knowledge. Our proposed dialogue system has been proven to generate significantly more correct responses than baseline dialogue systems.

2015

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Individuality-Preserving Spectrum Modification for Articulation Disorders Using Phone Selective Synthesis
Reina Ueda | Ryo Aihara | Tetsuya Takiguchi | Yasuo Ariki
Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies

2014

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Individuality-preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non-negative Matrix Factorization
Ryo Aihara | Tetsuya Takiguchi | Yasuo Ariki
Proceedings of the 5th Workshop on Speech and Language Processing for Assistive Technologies

2013

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Individuality-Preserving Voice Conversion for Articulation Disorders Using Locality-Constrained NMF
Ryo Aihara | Tetsuya Takiguchi | Yasuo Ariki
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies

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Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection
Toshiya Yoshioka | Tetsuya Takiguchi | Yasuo Ariki
Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies

2008

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Evaluation Framework for Distant-talking Speech Recognition under Reverberant Environments: newest Part of the CENSREC Series -
Takanobu Nishiura | Masato Nakayama | Yuki Denda | Norihide Kitaoka | Kazumasa Yamamoto | Takeshi Yamada | Satoru Tsuge | Chiyomi Miyajima | Masakiyo Fujimoto | Tetsuya Takiguchi | Satoshi Tamura | Shingo Kuroiwa | Kazuya Takeda | Satoshi Nakamura
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Recently, speech recognition performance has been drastically improved by statistical methods and huge speech databases. Now performance improvement under such realistic environments as noisy conditions is being focused on. Since October 2001, we from the working group of the Information Processing Society in Japan have been working on evaluation methodologies and frameworks for Japanese noisy speech recognition. We have released frameworks including databases and evaluation tools called CENSREC-1 (Corpus and Environment for Noisy Speech RECognition 1; formerly AURORA-2J), CENSREC-2 (in-car connected digits recognition), CENSREC-3 (in-car isolated word recognition), and CENSREC-1-C (voice activity detection under noisy conditions). In this paper, we newly introduce a collection of databases and evaluation tools named CENSREC-4, which is an evaluation framework for distant-talking speech under hands-free conditions. Distant-talking speech recognition is crucial for a hands-free speech interface. Therefore, we measured room impulse responses to investigate reverberant speech recognition. The results of evaluation experiments proved that CENSREC-4 is an effective database suitable for evaluating the new dereverberation method because the traditional dereverberation process had difficulty sufficiently improving the recognition performance. The framework was released in March 2008, and many studies are being conducted with it in Japan.