Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mehdi Zohourian"'
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:
Rainer Martin, Mehdi Zohourian
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:92-104
This article addresses the problem of distance estimation using binaural hearing aid microphones in reverberant rooms. Among several distance indicators, the direct-to-reverberant energy ratio (DRR) has been shown to be more effective than other feat
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 26:515-528
In this paper, we present and compare novel algorithms to localize simultaneous speakers using four microphones distributed on a pair of binaural hearing aids. The framework consists of two groups of localization algorithms, namely, beamforming-based
Autor:
Mehdi Zohourian, Rainer Martin
Publikováno v:
ICASSP
This paper proposes a novel algorithm to estimate the direct-to-reverberant energy ratio (DRR) using hearing aid microphones. The algorithm is based on the interaural magnitude-squared coherence of signals and is able to take both phase and level dif
Autor:
Rainer Martin, Mehdi Zohourian
Publikováno v:
ICASSP
In this paper we investigate two methods for the preservation of spatial cues in binaural speaker separation. We develop these methods as extensions of our previously proposed model-based generalized sidelobe canceller (GSC) which utilizes a maximum
Publikováno v:
EUSIPCO
In this work we evaluate the effects of the head radius on binaural localization algorithms. We employ a spherical head model and the null-steering beamforming localization method. The model characterizes the binaural cues in the form of HRTFs. One o
Publikováno v:
2016 24th Iranian Conference on Electrical Engineering (ICEE).
A new steganalysis system for JPG-based image data hiding is proposed in this paper. We use features extracted from both wavelet and DCT domains that are refined later in the sense of utmost discrimination between the clear and stego images in the cl
Autor:
Rainer Martin, Mehdi Zohourian
Publikováno v:
ICASSP
In this paper we present a novel algorithm to localize and separate simultaneous speakers using hearing aids when the head is subject to rotational movement. Most of the algorithms used in hearing aids are able to extract target signals that are in t
Publikováno v:
ICASSP
In this paper we propose a novel multi-channel algorithm to separate simultaneous speakers in an environment where the microphone array is subject to movement. When the microphones are mounted to a person's head, for instance, the movements can lead