Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kamil Adiloglu"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
IntroductionIn our complex world, the auditory system plays a crucial role in perceiving and processing our environment. Humans are able to segment and stream concurrent auditory objects, allowing them to focus on specific sounds, such as speech, and
Externí odkaz:
https://doaj.org/article/34d9e20285824f8193d5016f4ead66e8
Publikováno v:
ICASSP
While many algorithms deal with direction of arrival (DOA) estimation and voice activity detection (VAD) as two separate tasks, only a small number of data-driven methods have addressed these two tasks jointly. In this paper, a multi-input single-out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e3b4e8177efefba98f156bb3121eab
https://doi.org/10.1109/icassp40776.2020.9054754
https://doi.org/10.1109/icassp40776.2020.9054754
Publikováno v:
ICASSP
State-of-the-art hearing aids (HA) are limited in recognizing acoustic environments. Much effort is spent on research to improve listening experience for HA users in every acoustic situation. There is, however, no dedicated public database to train a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada2070f7182aa62c710d4006d311530
https://doi.org/10.1109/icassp40776.2020.9053611
https://doi.org/10.1109/icassp40776.2020.9053611
Autor:
Hartmut Richter, Kamil Adiloglu, Marei Typlt, Andreas Huewel, Marco Eichelberg, Benjamin Cauchi
Publikováno v:
HealthCom
With the growing number of people affected by hearing loss, large research and development efforts have been carried to improve the performance of hearing aids. Although these efforts have proven fruitful, e.g., by improving the speech enhancement al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d2ab5ad7db96b6e44c12ad83ec82af1
https://doi.org/10.1109/healthcom.2018.8531138
https://doi.org/10.1109/healthcom.2018.8531138
The paper describes a system for automatic speech recognition (ASR) that is benchmarked with data of the 3rd CHiME challenge, a dataset comprising distant microphone recordings of noisy acoustic scenes in public environments. The proposed ASR system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::747f2ddb37d3fa7e706068cfb2edf8cf
https://publica.fraunhofer.de/handle/publica/247560
https://publica.fraunhofer.de/handle/publica/247560
Publikováno v:
MLSP
Estimating non-linearities in phase differences between channel pairs of a multi-channel audio recording in a reverberant environment provides more precise spatial information that yields direct improvement in signal enhancement, as we show for the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb298b8a2caa96869a231fec3b7fe9a9
https://doi.org/10.1109/mlsp.2016.7738893
https://doi.org/10.1109/mlsp.2016.7738893
Autor:
Kamil Adiloglu, Emmanuel Vincent
Publikováno v:
IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, 2016, ⟨10.1109/TASLP.2016.2583794⟩
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TASLP.2016.2583794⟩
IEEE Transactions on Audio, Speech and Language Processing, 2016, ⟨10.1109/TASLP.2016.2583794⟩
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TASLP.2016.2583794⟩
International audience; We consider the task of separating and classifying individual sound sources mixed together. The main challenge is to achieve robust classification despite residual distortion of the separated source signals. A promising paradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7340d3027059772379e3744ebec0dd61
https://inria.hal.science/hal-00726146v2/file/double.pdf
https://inria.hal.science/hal-00726146v2/file/double.pdf
Autor:
Ferda Nur Alpaslan, Kamil Adiloglu
Publikováno v:
Knowledge-Based Systems. 20:300-309
Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in the area of music composition. Artificial intelligence methods have been extensively applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da65163a944100092500a0db73825aa7
https://doi.org/10.1016/j.knosys.2006.04.018
https://doi.org/10.1016/j.knosys.2006.04.018
Autor:
Hendrik Kayser, Volker Hohmann, Sanja Rennebeck, Mathias Dietz, Kamil Adiloglu, Regina M. Baumgärtel
Publikováno v:
Trends in Hearing
Trends in Hearing, Vol 19 (2015)
Trends in Hearing, Vol 19 (2015)
In many daily life communication situations, several sound sources are simultaneously active. While normal-hearing listeners can easily distinguish the target sound source from interfering sound sources-as long as target and interferers are spatially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48043e35903e20ee07508ed2ef1b25a6
http://europepmc.org/articles/PMC4771043
http://europepmc.org/articles/PMC4771043
Publikováno v:
ASRU
The paper describes an automatic speech recognition (ASR) system for the 3rd CHiME challenge that addresses noisy acoustic scenes within public environments. The proposed system includes a multi-channel speech enhancement front-end including a microp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e81603d5086c2675c10b54787b48bb6d
https://doi.org/10.1109/asru.2015.7404832
https://doi.org/10.1109/asru.2015.7404832