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Acting · Welwyn Garden City, Hertfordshire, Inglaterra
Alesha Anjanette Dixon, (born 7 October 1978, in Welwyn Garden City, Hertfordshire, United Kingdom) is an English singer, MC, songwriter, television personality and former member of R&B girl group Mis-Teeq, who had seven UK top 10 hits, two top 10 double platinum albums, and sold over 12 million records worldwide. After the band split in 2005, Alesha pursued a solo career. She released two…
Alesha Anjanette Dixon (born 7 October 1978) is an English singer, rapper and television personality. She gained recognition in the early 2000s as a member of the R&B and garage group Mis-Teeq, who had seven consecutive UK top 10 singles, two top 10 double platinum albums, and sold over 12 million records worldwide.
After Mis-Teeq disbanded in 2005, Dixon signed with Polydor Records to release her debut solo album, Fired Up (2006); due to insufficient commercial reception from its lead singles, "Lipstick" and "Knockdown", she was dropped from Polydor. She then signed with Asylum Records to release her second album, The Alesha Show (2008), which was certified platinum by the British Phonographic Industry (BPI) and produced the successful singles "The Boy Does Nothing" and "Breathe Slow", the latter of which became her highest charting single and earned her a Brit Award nomination. She went on to release the albums The Entertainer (2010) and Do It for Love (2015).
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Alesha Anjanette Dixon, (born 7 October 1978, in Welwyn Garden City, Hertfordshire, United Kingdom) is an English singer, MC, songwriter, television personality and former member of R&B girl group Mis-Teeq. After the band split in 2005, Alesha pursued a solo career. She released two singles from the album, Fired Up in 2006 but after limited success in, she was dropped by Polydor in 2006. The album was eventually released in Japan in 2008. After gaining popularity by winning the BBC's "Strictly
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· 2012 · cited 16,244x
· 2017 · cited 11,849x
· 2014 · cited 8,018x
· 2007 · cited 7,910x
· 2012 · cited 6,626x
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).