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WHAM!

WSJ0 Hipster Ambient Mixtures

홈페이지 · 논문 114편

The WSJ0 Hipster Ambient Mixtures (WHAM!) dataset pairs each two-speaker mixture in the wsj0-2mix dataset with a unique noise background scene. It has an extension called [WHAMR!](/dataset/whamr) that adds artificial reverberation to the speech signals in addition to the background noise. The noise audio was collected at various urban locations throughout the San Francisco Bay Area in late 2018. The environments primarily consist of restaurants, cafes, bars, and parks. Audio was recorded using an Apogee Sennheiser binaural microphone on a tripod between 1.0 and 1.5 meters off the ground.

Speech English

벤치마크

Speech Separation on WHAMR! 결과 18개
Speech Separation on WHAM! 결과 6개
Speech Enhancement on WHAMR! 결과 4개
Speech Dereverberation on WHAMR! 결과 3개
Speech Enhancement on WHAM! 결과 1개