Interspeech 2020 2020
DOI: 10.21437/interspeech.2020-2430
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Identify Speakers in Cocktail Parties with End-to-End Attention

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“…Source separation is the task of decomposing a mixed signal into the original signals prior to the mixing procedure. This is an important task with many downstream applications, e.g., improve the accuracy of automatic speech recognition with multiple speakers [1] [2], or separating out singing voices and music [3]. Due to the recent progress in deep learning, supervised methods have received a lot of interest [4,5,6,7,8].…”
Section: Introductionmentioning
confidence: 99%
“…Source separation is the task of decomposing a mixed signal into the original signals prior to the mixing procedure. This is an important task with many downstream applications, e.g., improve the accuracy of automatic speech recognition with multiple speakers [1] [2], or separating out singing voices and music [3]. Due to the recent progress in deep learning, supervised methods have received a lot of interest [4,5,6,7,8].…”
Section: Introductionmentioning
confidence: 99%