Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ivo Merks"'
Publikováno v:
IWAENC
Binaural beamforming algorithms for head-mounted assistive listening devices are crucial to improve speech quality and speech intelligibility in noisy environments, while maintaining the spatial impression of the acoustic scene. While the well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1029dc83fb1268ea6925d81e552cfbea
http://arxiv.org/abs/1807.04636
http://arxiv.org/abs/1807.04636
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 23:982-992
In real-world environments, human speech is usually distorted by both reverberation and background noise, which have negative effects on speech intelligibility and speech quality. They also cause performance degradation in many speech technology appl
Publikováno v:
ACSSC
In a hearing aid application, the performance of an adaptive beamformer is sensitive to errors in the acoustic transfer function or noise estimation. The estimation errors can be caused by factors including the head movement of the hearing aid users,
Autor:
Daniel Marquardt, Wenqiang Pu, Tao Zhang, Sharon Gannot, Simon Doclo, Zhi-Quan Luo, Elior Hadad, Ivo Merks
Publikováno v:
ICASSP
Beamforming algorithms in binaural hearing aids are crucial to improve speech understanding in background noise for hearing impaired persons. In this study, we compare and evaluate the performance of two recently proposed minimum variance (MV) beamfo
Publikováno v:
IWAENC
This paper introduces novel two-channel a priori Signal-to-Noise Ratio (SNR) estimators for use in frequency-domain speech enhancement algorithms. The SNR estimation is based on statistics of the noisy phase difference between two microphones in each
Publikováno v:
ICASSP
In the real world, speech is usually distorted by both reverberation and background noise. In such conditions, speech intelligibility is degraded substantially, especially for hearing-impaired (HI) listeners. As a consequence, it is essential to enha
Publikováno v:
WASPAA
In this paper, we propose a low complexity beamforming algorithm for binaural hearing aids that achieves a high degree of noise suppression without causing significant speech distortion. Specifically, we incorporate a priori approximate spatial infor
Publikováno v:
WASPAA
We report on a recently-recorded database for use in processing of ad hoc microphone constellations. Twenty-four microphones were positioned in various locations at a central table in a large room, and their outputs were recorded while 4 target talke
Publikováno v:
ICASSP
In this paper, we propose a beamforming algorithm for binaural hearing aids with enhanced noise suppression capability. The enhancement is based on incorporating a priori spatial information into the conventional multichannel Wiener filtering (MWF) a
Publikováno v:
ICASSP
This paper applies blind channel identification (BCI) to estimate direction of arrival (DOA) of sound sources with a pair of binaural hearing aids. It compares the Adaptive Eigenvalue Decomposition Algorithm (AEDA) with the Adaptive Principal Compone