Zobrazeno 1 - 10
of 2 436
pro vyhledávání: '"speech quality"'
Autor:
Djimeli Tsamene Charly, Mathias Onabid
Publikováno v:
Cognitive Computation and Systems, Vol 6, Iss 1-3, Pp 36-48 (2024)
Abstract An investigation on the effect of mental activity in quality perception is presented using simultaneous measurement of electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS), in a subject‐independent approach. Bui
Externí odkaz:
https://doaj.org/article/58b6de800b7146d8a66fd05db5813786
Autor:
Ch. A. Ganina, M. A. Kropotov, O. A. Saprina, E. V. Kosova, V. Zh. Brzhezovskiy, D. I. Novokhrestova, M. T. Isaeva, Е. A. Grivachev
Publikováno v:
Опухоли головы и шеи, Vol 14, Iss 2, Pp 65-75 (2024)
Introduction. Surgery is the leading treatment for tongue cancer, performance which leads to impaired speech function. Because speech is one of the most important tools of social interaction, its disorder can significantly affect patients’ quality
Externí odkaz:
https://doaj.org/article/68438080cb9f423a91c914f95105b493
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-25 (2024)
Abstract In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recogn
Externí odkaz:
https://doaj.org/article/a3afdb0ac65f447bb3429767907a6bed
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 3, Pp 603-608 (2024)
The development of digital radio, observed in recent years, and the advantages offered by this medium are resulting in the expansion of the audience. In order to ensure the proper quality of broadcasting, it is necessary to monitor this quality. The
Externí odkaz:
https://doaj.org/article/deba9b77ec6045cbb01f2e72a1917652
Autor:
Sami Dhahbi, Nasir Saleem, Teddy Surya Gunawan, Sami Bourouis, Imad Ali, Aymen Trigui, Abeer D. Algarni
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 74-85 (2024)
Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being computationally efficient
Externí odkaz:
https://doaj.org/article/39d4d1083ce048898fca44d5b68dceb3
Publikováno v:
Nastava i Vaspitanje, Vol 73, Iss 2, Pp 253-265 (2024)
Smartphones and tablets are part of everyday family life. Experts who work with children or deal with various aspects of early childhood development warn of the resulting harmful consequences. It is also feared that research on the impact of the use
Externí odkaz:
https://doaj.org/article/6c7ed9a445d942c6bf3cc3102c452e32
Autor:
Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Evgenii Indenbom, Nicolae-Catalin Ristea, Jegor Guzvin, Hannes Gamper, Sebastian Braun, Robert Aichner
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 675-685 (2024)
The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research in acoustic echo cancellation (AEC), which is an important area of speech enhancement and is still a top issue in audio communication. This is the fourth AEC chall
Externí odkaz:
https://doaj.org/article/d04d81329baa4cca875a229c7885bba0
Autor:
Harishchandra Dubey, Ashkan Aazami, Vishak Gopal, Babak Naderi, Sebastian Braun, Ross Cutler, Alex Ju, Mehdi Zohourian, Min Tang, Mehrsa Golestaneh, Robert Aichner
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 725-737 (2024)
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster research in the field of DNS. Previous DNS challenges were held at INTERSPEECH 2020,
Externí odkaz:
https://doaj.org/article/176f4f8f3a224c6a9590c78c3880ba56
Autor:
Ross Cutler, Ando Saabas, Babak Naderi, Nicolae-Catalin Ristea, Sebastian Braun, Solomiya Branets
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 662-674 (2024)
The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. The speech signal quality can be measured with SIG in ITU-T P.835 and is still a top is
Externí odkaz:
https://doaj.org/article/b0f44a3c0a4c43d894903ce09796b48c
Publikováno v:
Sensors, Vol 24, Iss 20, p 6614 (2024)
The selection of a target when training deep neural networks for speech enhancement is an important consideration. Different masks have been shown to exhibit different performance characteristics depending on the application and the conditions. This
Externí odkaz:
https://doaj.org/article/2e4a2e1879424eb99394cebc7ea992ee