Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bastian Sauert"'
Autor:
W. B. Kleijn, Petko N. Petkov, Richard C. Hendriks, Peter Vary, Bastian Sauert, Joao B. Crespo
Publikováno v:
IEEE Signal Processing Magazine. 32:43-54
Modern communication technology facilitates communication from anywhere to anywhere. As a result, low speech intelligibility has become a common problem, which is exacerbated by the lack of feedback to the talker about the rendering environment. In r
Autor:
Bastian Sauert, Simon King, Cassia Valentini-Botinhao, Yannis Stylianou, Elizabeth Godoy, Junichi Yamagishi
Publikováno v:
Valentini-Botinhao, C, Godoy, E, Stylianou, Y, Sauert, B, King, S & Yamagishi, J 2013, Improving intelligibility in noise of HMM-generated speech via noise-dependent and-independent methods. in Proc. ICASSP-Vancouver, Canada .
ICASSP
ICASSP
In order to improve the intelligibility of HMM-generated Text-to-Speech (TTS) in noise, this work evaluates several speech enhancement methods, exploring combinations of noise-independent and - dependent approaches as well as algorithms previously de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3102e04e71b4cd9941cc6eb5f5bbed4
https://hdl.handle.net/20.500.11820/48e3d209-16ee-487e-a58e-68e404527f9f
https://hdl.handle.net/20.500.11820/48e3d209-16ee-487e-a58e-68e404527f9f
Autor:
Yan Tang, Martin Cooke, Cassia Valentini-Botinhao, Catherine Mayo, Bastian Sauert, Yannis Stylianou
Publikováno v:
Speech Communication
The use of live and recorded speech is widespread in applications where correct message reception is important. Furthermore, the deployment of synthetic speech in such applications is growing. Modifications to natural and synthetic speech have theref
Autor:
Peter Vary, Bastian Sauert
Publikováno v:
ICASSP (1)
In contrast to common noise reduction systems, this contribution presents a digital signal processing algorithm to improve intelligibility of clean far end speech for the near end listener who is located in an environment with background noise. Since
Publikováno v:
INTERSPEECH
This contribution presents a stereo input-output beamformer for dual channel noise reduction. The computationally very efficient beamformer adapts superdirective filter design techniques to binaural input signals to optimally enhance signals from a g