2022
DOI: 10.1016/j.asoc.2022.108568
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Adversarial multi-task learning with inverse mapping for speech enhancement

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Cited by 9 publications
(4 citation statements)
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“…Wang et al, 2020), the work of Kim et al (2021), J. Wu et al (2019), Ram et al (2020), Qiu et al (2022), Phan et al (2020), CMGAN (Cao et al, 2022), and VSEGAN (X. Xu et al, 2022) were released for enhancing speech and eliminate the noise from the speech signals.…”
Section: Speech Enhancementmentioning
confidence: 99%
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“…Wang et al, 2020), the work of Kim et al (2021), J. Wu et al (2019), Ram et al (2020), Qiu et al (2022), Phan et al (2020), CMGAN (Cao et al, 2022), and VSEGAN (X. Xu et al, 2022) were released for enhancing speech and eliminate the noise from the speech signals.…”
Section: Speech Enhancementmentioning
confidence: 99%
“…For instance, C‐RNN‐GAN (Mogren, 2016) proposed to enhance the quality of music sounds. Likewise, SEGAN (Pascual et al, 2017), CP‐GAN (G. Liu, Gong, et al, 2020), SERGAN (Baby & Verhulst, 2019), cycle‐consistent GAN (Y. Wang et al, 2020), the work of Kim et al (2021), J. Wu et al (2019), Ram et al (2020), Qiu et al (2022), Phan et al (2020), CMGAN (Cao et al, 2022), and VSEGAN (X. Xu et al, 2022) were released for enhancing speech and eliminate the noise from the speech signals. Also, Vaw‐Gan (K. Zhou et al, 2021) proposed a framework for enhancing emotional speech conversion.…”
Section: Gan Applicationsmentioning
confidence: 99%
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