Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Goodwin, Michael M."'
While neural network approaches have made significant strides in resolving classical signal processing problems, it is often the case that hybrid approaches that draw insight from both signal processing and neural networks produce more complete solut
Externí odkaz:
http://arxiv.org/abs/2402.06683
Autor:
Togami, Masahito, Valin, Jean-Marc, Helwani, Karim, Giri, Ritwik, Isik, Umut, Goodwin, Michael M.
We introduce a real-time, multichannel speech enhancement algorithm which maintains the spatial cues of stereo recordings including two speech sources. Recognizing that each source has unique spatial information, our method utilizes a dual-path struc
Externí odkaz:
http://arxiv.org/abs/2402.00337
Improving the interpretability of deep neural networks has recently gained increased attention, especially when the power of deep learning is leveraged to solve problems in physics. Interpretability helps us understand a model's ability to generalize
Externí odkaz:
http://arxiv.org/abs/2310.07032
Speech codec enhancement methods are designed to remove distortions added by speech codecs. While classical methods are very low in complexity and add zero delay, their effectiveness is rather limited. Compared to that, DNN-based methods deliver high
Externí odkaz:
http://arxiv.org/abs/2309.14521
Autor:
Wang, Zhepei, Giri, Ritwik, Shah, Devansh, Valin, Jean-Marc, Goodwin, Michael M., Smaragdis, Paris
In this study, we present an approach to train a single speech enhancement network that can perform both personalized and non-personalized speech enhancement. This is achieved by incorporating a frame-wise conditioning input that specifies the type o
Externí odkaz:
http://arxiv.org/abs/2302.11768
Autor:
Yuan, Siyuan, Wang, Zhepei, Isik, Umut, Giri, Ritwik, Valin, Jean-Marc, Goodwin, Michael M., Krishnaswamy, Arvindh
Singing voice separation aims to separate music into vocals and accompaniment components. One of the major constraints for the task is the limited amount of training data with separated vocals. Data augmentation techniques such as random source mixin
Externí odkaz:
http://arxiv.org/abs/2203.15092
The 19 papers in this special issue were selected to represent the range of current problems in music information retrieval (MIR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeacccb1339c9bef2bc92857ec243d11
Autor:
Goodwin, Michael M., Vetterli, Martin
Publikováno v:
IEEE Transactions on Signal Processing. Jul99, Vol. 47 Issue 7, p1890. 13p. 2 Black and White Photographs, 5 Diagrams, 1 Chart, 8 Graphs.