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Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 841-849 (2024)
Achieving reliable low-latency streaming on real-time immersive services that require seamless interaction has been of increasing importance recently. To cope with such an immersive service requirement, IETF and 3GPP defined Low Latency, Low Loss, an
Externí odkaz:
https://doaj.org/article/64e6a750eccb46cd8e6ca8f5998be23e
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 831-840 (2024)
In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks like image generation and retrieval. The logical controllability of repr
Externí odkaz:
https://doaj.org/article/9785a65f1f454bf1b8a37f71d0a5230a
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 850-857 (2024)
The room impulse response (RIR) describes the response of a room to an acoustic excitation signal and models the acoustic channel between a point source and receiver. RIRs are used in a wide range of applications, e.g., virtual reality. In such an ap
Externí odkaz:
https://doaj.org/article/a49dff2fb724423e8f21b606b4921c34
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 820-830 (2024)
Maximizing long-term rewards is the primary goal in sequential decision-making problems. The majority of existing methods assume that side information is freely available, enabling the learning agent to observe all features' states before making a de
Externí odkaz:
https://doaj.org/article/0ba856b4877641e4ab91bdce48880ab2
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
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 750-765 (2024)
Radio environment maps (REMs) hold a central role in optimizing wireless network deployment, enhancing network performance, and ensuring effective spectrum management. Conventional REM prediction methods are either excessively time-consuming, e.g., r
Externí odkaz:
https://doaj.org/article/d76bd9371be74dc8b42b528843c256de
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 700-716 (2024)
The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory system may be monitored during continuous speech perception. Reliable auditory-EEG decoders could facilitate the objective diagnosis of hearing disorders, or fi
Externí odkaz:
https://doaj.org/article/0b8a0cd366684dfeb7ccdc1fdd5e3719
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 780-789 (2024)
In this work, we present a causal speech enhancement system that is designed to handle different types of corruptions. This paper is an extended version of our contribution to the “ICASSP 2023 Speech Signal Improvement Challenge”. The method is b
Externí odkaz:
https://doaj.org/article/1ee088978844472ea8e16e646f9c8b1f
Autor:
Mohammad Jalilpour Monesi, Lies Bollens, Bernd Accou, Jonas Vanthornhout, Hugo Van Hamme, Tom Francart
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 652-661 (2024)
This paper describes the auditory EEG challenge, organized as one of the Signal Processing Grand Challenges at ICASSP 2023. The challenge provides EEG recordings of 85 subjects who listened to continuous speech, as audiobooks or podcasts, while their
Externí odkaz:
https://doaj.org/article/896e855ee0ce47a1badb14a75bccdba5
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