Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Benjamin Milde"'
Autor:
Aneesh Vijayan, Ronald Vogels, Rachel Groppo, Yi Jin, Selina Khan, Mirjam Van Kampen, Sytze Jorritsma, Satish Boedhoe, Miranda Baert, Harry van Diepen, Harmjan Kuipers, Jan Serroyen, Jorge Reyes- del Valle, Ann Broman, Lannie Nguyen, Sayoni Ray, Bader Jarai, Jayant Arora, Michelle Lifton, Benjamin Mildenberg, Georgeanna Morton, Sampa Santra, Tamar R. Grossman, Hanneke Schuitemaker, Jerome Custers, Roland Zahn
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Newly approved subunit and mRNA vaccines for respiratory syncytial virus (RSV) demonstrate effectiveness in preventing severe disease, with protection exceeding 80% primarily through the generation of antibodies. An alternative vaccine platf
Externí odkaz:
https://doaj.org/article/ad79a6b32f4f4a96b2a3d0c86c309c66
Autor:
Benjamin Milde, Chris Biemann
Publikováno v:
INTERSPEECH
The Sparsespeech model is an unsupervised acoustic model that can generate discrete pseudo-labels for untranscribed speech. We extend the Sparsespeech model to allow for sampling over a random discrete variable, yielding pseudo-posteriorgrams. The de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3d237831e6992ec623ac4b65b748e64
https://doi.org/10.21437/interspeech.2020-2629
https://doi.org/10.21437/interspeech.2020-2629
Autor:
Benjamin Milde, Chris Biemann
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb09db6c0385a80c7b899b731deb089
https://doi.org/10.21437/interspeech.2019-2938
https://doi.org/10.21437/interspeech.2019-2938
Autor:
Chris Biemann, Benjamin Milde
Publikováno v:
INTERSPEECH
We introduce "Unspeech" embeddings, which are based on unsupervised learning of context feature representations for spoken language. The embeddings were trained on up to 9500 hours of crawled English speech data without transcriptions or speaker info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc2104d73278f2d9e0471624d18519f
https://doi.org/10.21437/interspeech.2018-2194
https://doi.org/10.21437/interspeech.2018-2194
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e32880d298fd13ab074dcda19ad735b3
https://doi.org/10.21437/interspeech.2017-1436
https://doi.org/10.21437/interspeech.2017-1436
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783319455099
TSD
TSD
With the increasing popularity of deep learning approaches in the field of speech recognition and classification many of such problems are encountering a paradigm shift from classic approaches, such as hidden Markov models, to recurrent neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::778a8a3f43ecbcbc33130976c8ac8dbb
https://doi.org/10.1007/978-3-319-45510-5_50
https://doi.org/10.1007/978-3-319-45510-5_50
Publikováno v:
PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware. 28:28-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371fadf06a59e94fb9aae2a3374b5b00
https://doi.org/10.1007/bf03341982
https://doi.org/10.1007/bf03341982
Autor:
Benjamin Milde, Chris Biemann
Publikováno v:
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275ae8d446cad616bc9ee56558ef7689
https://doi.org/10.21437/interspeech.2015-192
https://doi.org/10.21437/interspeech.2015-192
Autor:
Stefan Radomski, Evandro B. Gouvêa, Benjamin Milde, Max Mühlhäuser, Arvid Lange, Stephan Radeck-Arneth, Chris Biemann
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783319240329
TSD
TSD
We present a new freely available corpus for German distant speech recognition and report speaker-independent word error rate WER results for two open source speech recognizers trained on this corpus. The corpus has been recorded in a controlled envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794bd723988d9e708755a0292fb179fc
https://doi.org/10.1007/978-3-319-24033-6_54
https://doi.org/10.1007/978-3-319-24033-6_54
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783642214233
SEC
SEC
CAPTCHAs are small puzzles which should be easily solvable by human beings but hard to solve for computers. They build a security cornerstone of the modern Internet service landscape, deployed in essentially any kind of login service, allowing to dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24253fd2e201b9ba0a580b9f77d5fb3d
https://doi.org/10.1007/978-3-642-21424-0_5
https://doi.org/10.1007/978-3-642-21424-0_5