Exploring the Application of Podcasting Theories and Skills in the Internet Era

Autor: Qiu Maoling

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)

This paper, based on the multimodal technology of the Internet era, proposes the application of a combined visual and auditory associative mechanism to news and broadcast hosting segments. We analyze the text content of two program periods, focusing

Externí odkaz: https://doaj.org/article/2236d924153145a68c1b74a48fe69d0d

Les auto-encodeurs variationnels dynamiques et leur application à la modélisation de spectrogrammes de parole

Autor: Girin, Laurent, Bie, Xiaoyu, Leglaive, Simon, Hueber, Thomas, Alameda-Pineda, Xavier

Publikováno v: JEP 2022-34e Journées d’Études sur la Parole
JEP 2022-34e Journées d’Études sur la Parole, Université de Nantes, Jun 2022, Noirmoutier, France. pp.655-663, ⟨10.21437/JEP.2022-69⟩

International audience; The Variational Autoencoder (VAE) is a powerful deep generative model that is now extensively used to represent high-dimensional complex data via a low-dimensional latent space learned in an unsupervised manner. In the origina

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9b2a4e1a3b1ab163703efdbc61c705eb
https://hal.science/hal-03978396/document

Demodulation of Narrowband Speech Spectrograms

Autor: Aragonda, Haricharan

Speech is a non-stationary signal and contains modulations in both spectral and temporal domains. Based on the type of modulations studied, most speech processing algorithms can be classified into short-time analysis algorithms, narrow-band analysis

Externí odkaz: http://hdl.handle.net/2005/2777
http://etd.ncsi.iisc.ernet.in/abstracts/3649/G26299-Abs.pdf

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