Zobrazeno 1 - 10
of 438
pro vyhledávání: '"Chung-Hsien Wu"'
Publikováno v:
IEEE Access, Vol 12, Pp 106070-106083 (2024)
Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade. However, the performance of under-resourced ASR trained by existing methods is still far inferi
Externí odkaz:
https://doaj.org/article/bc6ad461d10643fc833ec35e08031e90
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 13, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/9c236ec65bea491bb689f4518dc3aaa5
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 13, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/d1df4d6a860b49c0a4785877ecad4d69
Publikováno v:
IEEE Access, Vol 11, Pp 144421-144434 (2023)
In recent years, most of the research on speech enhancement (SE) has applied different strategies to improve performance through deep neural network models. However, as the performance improves, the memory resources and computational requirements of
Externí odkaz:
https://doaj.org/article/bb4b8d146546465099d3f0c52e8224f8
Publikováno v:
IEEE Access, Vol 11, Pp 121845-121858 (2023)
Bipolar disorder (BD) is one of the most common mental illnesses worldwide. In this study, a smartphone application was developed to collect digital phenotyping data of users, and an ensemble method combining the results from a model pool was establi
Externí odkaz:
https://doaj.org/article/c5b29b96f3f14f5389b9902d643fba59
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 1 (2023)
Externí odkaz:
https://doaj.org/article/8bdc5dd94b9b496a92ae1ac313b8825d
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 2 (2023)
Externí odkaz:
https://doaj.org/article/273146634deb4ddea74914c5a543e39a
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2017, Iss 1, Pp 1-17 (2017)
Abstract With the exponential growth in computing power and progress in speech recognition technology, spoken dialog systems (SDSs) with which a user interacts through natural speech has been widely used in human-computer interaction. However, error-
Externí odkaz:
https://doaj.org/article/d47c3482a66d4b2d93a1f856f0c6b1c0
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Externí odkaz:
https://doaj.org/article/9fa5c2c9d9b64c22a4b5960a6f0b6a8f
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/593497065df244909a798a28489abacb