Zobrazeno 1 - 10
of 39
pro vyhledávání: '"audio embeddings"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 1, Pp 268-274 (2020)
Automated voice-based detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone recordings from 88 subjects was recently collected. The dataset included vocal utt
Externí odkaz:
https://doaj.org/article/ceca39267f21438cbb216bfe599ccc0e
Publikováno v:
Proceedings of the International Society for Music Information Retrieval Conference (ISMIR)
The 24th conference of the International Society for Music Information Retrieval (ISMIR)
The 24th conference of the International Society for Music Information Retrieval (ISMIR), Nov 2023, Milan, Italy
The 24th conference of the International Society for Music Information Retrieval (ISMIR)
The 24th conference of the International Society for Music Information Retrieval (ISMIR), Nov 2023, Milan, Italy
Deep neural network models have become the dominant approach to a large variety of tasks within music information retrieval (MIR). These models generally require large amounts of (annotated) training data to achieve high accuracy. Because not all app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1e46e2284e94acd1dcf0a152f037a5
Akademický článek
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Akademický článek
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Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
instname
instname
Presentado en ASRU 2021, Cartagena (Colombia), 13-17 diciembre 2021 Neural transformer architectures have gained a lot of interest for text-based dialogue management in the last few years. They have shown high learning capabilities for open domain di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef4f620523e3d087aa45a1c8390e8356
https://doi.org/10.1109/asru51503.2021.9688296
https://doi.org/10.1109/asru51503.2021.9688296
Publikováno v:
Electronics, Vol 10, Iss 2471, p 2471 (2021)
Electronics
Volume 10
Issue 20
Electronics
Volume 10
Issue 20
In this study, we aim to learn highly descriptive representations for a wide set of machinery sounds and exploit this knowledge to perform condition monitoring of mechanical equipment. We propose a comprehensive feature learning approach that operate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7278cf10c72f76d092a3d084b9cf4da
https://www.mdpi.com/2079-9292/10/20/2471
https://www.mdpi.com/2079-9292/10/20/2471
Publikováno v:
ICASSP
Embedding models that encode semantic information into low-dimensional vector representations are useful in various machine learning tasks with limited training data. However, these models are typically too large to support inference in small edge de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13550b6a5e0e9b11be547215e92d4d4d
https://doi.org/10.1109/icassp39728.2021.9414287
https://doi.org/10.1109/icassp39728.2021.9414287
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 1, Pp 268-274 (2020)
Automated voice-based detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone recordings from 88 subjects was recently collected. The dataset included vocal utt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cebbfcec686c07119f4c8ed71435975
https://pubmed.ncbi.nlm.nih.gov/35402954
https://pubmed.ncbi.nlm.nih.gov/35402954