Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Christopher Schymura"'
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28:487-502
Identification and localization of sounds are both integral parts of computational auditory scene analysis. Although each can be solved separately, the goal of forming coherent auditory objects and achieving a comprehensive spatial scene understandin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a861de4bd6052084ab72a659d91466
https://doi.org/10.1109/taslp.2019.2958408
https://doi.org/10.1109/taslp.2019.2958408
Autor:
Tomohiro Nakatani, Julio Wissing, Tsubasa Ochiai, Dorothea Kolossa, Marc Delcroix, Keisuke Kinoshita, Shoko Araki, Benedikt Boenninghoff, Christopher Schymura
Publikováno v:
ICASSP
Estimating the positions of multiple speakers can be helpful for tasks like automatic speech recognition or speaker diarization. Both applications benefit from a known speaker position when, for instance, applying beamforming or assigning unique spea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a82b8f48173e472e9db08bbdd6973f
https://doi.org/10.1109/icassp39728.2021.9413399
https://doi.org/10.1109/icassp39728.2021.9413399
Autor:
Keisuke Kinoshita, Christopher Schymura, Tomohiro Nakatani, Shoko Araki, Marc Delcroix, Tsubasa Ochiai, Dorothea Kolossa
Publikováno v:
EUSIPCO
Sound event localization frameworks based on deep neural networks have shown increased robustness with respect to reverberation and noise in comparison to classical parametric approaches. In particular, recurrent architectures that incorporate tempor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbf67c43c100b69205f145e1204f1ecc
https://doi.org/10.23919/eusipco47968.2020.9287224
https://doi.org/10.23919/eusipco47968.2020.9287224
Autor:
Shoko Araki, Christopher Schymura, Benedikt Bönninghoff, Marc Delcroix, Keisuke Kinoshita, Dorothea Kolossa, Tomohiro Nakatani, Tsubasa Ochiai
Sound event localization aims at estimating the positions of sound sources in the environment with respect to an acoustic receiver (e.g. a microphone array). Recent advances in this domain most prominently focused on utilizing deep recurrent neural n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d7de552b6e5cb05d487ff98469b938e
Publikováno v:
IJCNN
Deep neural networks have proven highly effective at speech enhancement, which makes them attractive not just as front-ends for machine listening and speech recognition, but also as enhancement models for the benefit of human listeners. They are, how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d5ff761ada9cabe014b8a73cd3d7b45
https://doi.org/10.1109/ijcnn48605.2020.9207184
https://doi.org/10.1109/ijcnn48605.2020.9207184
Autor:
Shoko Araki, Christopher Schymura, Tomohiro Nakatani, Tsubasa Ochiai, Dorothea Kolossa, Keisuke Kinoshita, Marc Delcroix
Publikováno v:
ICASSP
Audiovisual speaker tracking is an application that has been tackled by a wide range of classical approaches based on Gaussian filters, most notably the well-known Kalman filter. Recently, a specific Kalman filter implementation was proposed for this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cf291869ab1fbfd038481821fed586c
https://doi.org/10.1109/icassp40776.2020.9054005
https://doi.org/10.1109/icassp40776.2020.9054005
Autor:
Christopher Schymura, Dorothea Kolossa
Publikováno v:
ICASSP
Multimodal data fusion is an important aspect of many object localization and tracking frameworks that rely on sensory observations from different sources. A prominent example is audiovisual speaker localization, where the incorporation of visual inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0232364356c02e50e4f8b6f7efe75a91
https://doi.org/10.1109/icassp.2019.8682249
https://doi.org/10.1109/icassp.2019.8682249
Autor:
Dorothea Kolossa, Christopher Schymura
Data fusion plays an important role in many technical applications that require efficient processing of multimodal sensory observations. A prominent example is audiovisual signal processing, which has gained increasing attention in automatic speech r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56d3cafa2794e5c2660f5380f95dea91
http://arxiv.org/abs/1903.06031
http://arxiv.org/abs/1903.06031
Publikováno v:
IWAENC
An important aspect of audiovisual speaker localization is the appropriate fusion of acoustic and visual observations based on their time-varying reliability. In this study, a framework which incorporates dynamic stream weights into the well-known Ka
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c7f874a89e2739729ebe530b0104feb
https://doi.org/10.1109/iwaenc.2018.8521384
https://doi.org/10.1109/iwaenc.2018.8521384
Autor:
Christopher Schymura, Dorothea Kolossa
Publikováno v:
ICASSP
This paper presents a novel framework for active exploration in the context of acoustic simultaneous localization and mapping (SLAM) using a microphone array mounted on a mobile robotic agent. Acoustic SLAM aims at building a map of acoustic sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc68b77fc59ece7a052a49358684fce2
https://doi.org/10.1109/icassp.2018.8461655
https://doi.org/10.1109/icassp.2018.8461655