Zobrazeno 1 - 10
of 248
pro vyhledávání: '"speech quality assessment"'
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:
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:
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:
Aerospace, Vol 11, Iss 5, p 391 (2024)
Radio checks serve as the foundation for ground-to-air communication. To integrate machine learning for automated and reliable radio checks, this study introduces an Auto Radio Check network (ARCnet), a novel algorithm for non-intrusive speech qualit
Externí odkaz:
https://doaj.org/article/ff3c5f4984f540e3aada3c117fe8045b
Publikováno v:
Tongxin xuebao, Vol 44, Pp 105-116 (2023)
In view of the objective assessment problem of the effect of communication speech interference, methods based on multi-measurements and multimodal fusion were proposed.First, the interfered speech was preprocessed by the endpoint detection algorithm
Externí odkaz:
https://doaj.org/article/23bd7d800fbe430fa10424e704e0c9ec
Akademický článek
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Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2021, Iss 1, Pp 1-10 (2021)
Abstract Recently, the non-intrusive speech quality assessment method has attracted a lot of attention since it does not require the original reference signals. At the same time, neural networks began to be applied to speech quality assessment and ac
Externí odkaz:
https://doaj.org/article/b7472589c34841948a810babad98fb41
Publikováno v:
Sensors, Vol 23, Iss 12, p 5652 (2023)
With the evolution in technology, communication based on the voice has gained importance in applications such as online conferencing, online meetings, voice-over internet protocol (VoIP), etc. Limiting factors such as environmental noise, encoding an
Externí odkaz:
https://doaj.org/article/a68239d4af2043d789255c717fc7500b
Akademický článek
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Akademický článek
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