Sunday April 22, 2018

Snoop Dogg insults Parsi Culture in his new video, community enraged

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By NewsGram Staff Writer

Born in California, USA, the famous American hip-hop artist, Snoop Dogg is in controversies yet again. Earlier, he has often been targeted by various women’s groups for penning sexist lyrics and has been banned in several countries for his spiteful remarks.Snoop_Dogg_performing_at_Hovefestivalen_2012

Now, his latest song, King hasn’t gone well with the Parsis. They have expressed their displeasure at the video of this song which features the artist seated under Faravahar, a symbol of the Zoroastrian sacred guardian angel. The Zoroastrian sacred guardian angel is a part of ancient Persian culture and thus, for Parsis, this holds a massive importance.

Moreover, the women clad in skimpy clothes in the video have further enraged the Zoroastrians. Right from the beginning of the video, the women are smoking hookahs, drinking, and their pelvic thrusts are accentuated. There is a pseudo Persian setting and the sacred guardian angel has been trivialised. This has offended the sentiments of Parsis who were instantly outraged.

https://youtu.be/2y2h_IjxVmo

Irate Parsis have taken screenshots of the offending images and created a Change.org petition calling for the artistes to remove the song and apologise.

The petition says, “The rap artist Snoop Dogg is featured in a recently released music video of the song King by Iranian pop singer Amitis. The video shows Persian motifs including the “Faravashi” or the Farohar, a sacred symbol depicting the guardian angel. Zoroastrians and Parsis all over the world worship the Farohar as a religious symbol. The use of it in a music video is very insensitive towards the religious beliefs of one of the oldest monotheistic religions in the world. We would respectfully ask Amitis, Snoop Dogg and their team to remove the video and tender an apology to Zoroastrians worldwide.”

 

Snoop Dogg has been quite popular for the element of funk that he brings in his music. His braided hairstyles are his trademark. Today (12th June) is his 18th marriage anniversary.

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Google AI can focus on individual speakers in a crowd

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks

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Google india launches 'Tz' to help people pay their utility bills. Wikimedia Commons
Google AI to identify speakers from crowd. Wikimedia Commons

Just as most smartphone cameras now allow users to focus on a single object among many, it may soon be possible to pick out individual voices in a crowd by suppressing all other sounds, thanks to a new Artificial Intelligence (AI) system developed by Google researchers.

This is an important development as computers as not as good as humans at focusing their attention on a particular person in a noisy environment. Known as the cocktail party effect, the capability to mentally “mute” all other voices and sounds comes natural to us humans.

Google has collaborated with getty images. Wikimedia Commons
Google AI will identify individual speakers now. Wikimedia Commons

However, automatic speech separation — separating an audio signal into its individual speech sources — remains a significant challenge for computers, Inbar Mosseri and Oran Lang, software engineers at Google Research, wrote in a blog post this week. In a new paper, the researchers presented a deep learning audio-visual model for isolating a single speech signal from a mixture of sounds such as other voices and background noise.

“In this work, we are able to computationally produce videos in which speech of specific people is enhanced while all other sounds are suppressed,” Mosseri and Lang said. The method works on ordinary videos with a single audio track, and all that is required from the user is to select the face of the person in the video they want to hear, or to have such a person be selected algorithmically based on context.

Also Read: Want To Know What Facebook, Google Know About You?

The researchers believe this capability can have a wide range of applications, from speech enhancement and recognition in videos, through video conferencing, to improved hearing aids, especially in situations where there are multiple people speaking. “A unique aspect of our technique is in combining both the auditory and visual signals of an input video to separate the speech,” the researchers said.

google
This will also help in speech enhancement . VOA

“Intuitively, movements of a person’s mouth, for example, should correlate with the sounds produced as that person is speaking, which in turn can help identify which parts of the audio correspond to that person,” they explained.

The visual signal not only improves the speech separation quality significantly in cases of mixed speech, but, importantly, it also associates the separated, clean speech tracks with the visible speakers in the video, the researchers said. IANS

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