Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Masashi Uno"'
Publikováno v:
Chemistry (Weinheim an der Bergstrasse, Germany). 27(32)
Spontaneous resolution has attracted continuing attention in various research fields since Pasteur's work on the crystallization behavior of racemic tartrate. Here, a unique example of this phenomenon is reported, involving ionic crystals generated f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb5f933d242b7e31de7a37cd65856b79
https://pubmed.ncbi.nlm.nih.gov/33826186
https://pubmed.ncbi.nlm.nih.gov/33826186
Publikováno v:
IEEE Access, Vol 12, Pp 165507-165524 (2024)
Social aspects such as social roles and status play a crucial role in human-to-human conversations, where the interlocutors adapt to each other to achieve conversational entrainment and gain approval. Due to their complexity, these aspects are challe
Externí odkaz:
https://doaj.org/article/0dc11d7493c0406c849c698ac6d8aea5
Publikováno v:
IEEE Access, Vol 12, Pp 149221-149237 (2024)
The rise of synthetic speech technologies has triggered growing concerns about the increasing difficulty in distinguishing between real and fake voices. In this context, we propose novel hybrid transformer-based models together with different audio f
Externí odkaz:
https://doaj.org/article/57cd654c06664e49854ba892c36eb47b
Autor:
Anuwat Chaiwongyen, Suradej Duangpummet, Jessada Karnjana, Waree Kongprawechnon, Masashi Unoki
Publikováno v:
IEEE Access, Vol 12, Pp 121958-121970 (2024)
There is a great concern regarding the misuse of deepfake speech technology to synthesize a real person’s voice. Therefore, developing speech-security systems capable of detecting deepfake speech remains paramount in safeguarding against such misus
Externí odkaz:
https://doaj.org/article/1e8c0e4c17cd40d796958453ad399b57
Publikováno v:
IEEE Access, Vol 11, Pp 84689-84698 (2023)
Fake audio detection (FAD) aims to identify fraudulent speech generated through advanced speech-synthesis techniques. Most current FAD methods rely solely on a deep neural network (DNN) framework with either speech waveforms or commonly used acoustic
Externí odkaz:
https://doaj.org/article/5fbbd8ddd4724a6b93b544bfe2ffd3ca
Publikováno v:
IEEE Access, Vol 11, Pp 141573-141584 (2023)
In speech enhancement, accurate phase reconstruction can significantly improve speech quality. While phase-aware speech enhancement methods using the complex ideal ratio mask (cIRM) have shown promise, the estimation difficulty of the phase is shared
Externí odkaz:
https://doaj.org/article/eaaa6b59af1947aa8efd515f9e552272
Publikováno v:
IEEE Access, Vol 11, Pp 106620-106649 (2023)
Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental sounds. Deep learning models are able to learn complex patte
Externí odkaz:
https://doaj.org/article/7991b4deb4004596a3e463f9af1e762d
Autor:
Yasuji Ota, Masashi Unoki
Publikováno v:
IEEE Access, Vol 11, Pp 70884-70897 (2023)
This paper proposes an anomalous sound detection (ASD) method that uses a combination of timbral metrics and short-term features tailored to industrial machine faults to identify whether the sound emitted from a target machine is anomalous. The timbr
Externí odkaz:
https://doaj.org/article/2cf6c4a44e184390923a180237e09dc4
Publikováno v:
IEEE Access, Vol 11, Pp 49431-49444 (2023)
The speech transmission index (STI) and room acoustic parameters (RAPs) are essential metrics for assessing speech quality and predicting listening difficulty in a sound field. Although STI and important RAPs, such as reverberation time and clarity,
Externí odkaz:
https://doaj.org/article/0f1e2a9285944a169c742d6c6cf1e7fa
Publikováno v:
International Archives of Allergy and Immunology. 117:155-159
The bone marrow actively participates in the production of IgER–positive inflammatory cells (eosinophils, basophils and mast cells), which are typically recruited to tissues in atopic individuals. Understanding the signalling between the tissue and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8145e098952ef30646b6fa5c90870968
https://doi.org/10.1159/000024004
https://doi.org/10.1159/000024004