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BSF Jawan Tej Bahadur Yadav’s Food Video exposes Plight of Indian Soldiers, gets him transferred and given Plumber’s job

The BSF has meanwhile lodged an inquiry into Yadav's allegations

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BSF Jawan Tej Bahadur Yadav, Facebook
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Siachin, Jan 11, 2016: Terrible Condition of soldiers in Indian Army is not something unheard of! A shocking revelation by Border Security Force (BSF) jawan Tej Bahadur Yadav has erupted new controversy amidst army. He has posted four videos showing the deplorable condition of food served to the jawans. Though his peers seem to be happy about it but there has been pressure on him to take down the videos.

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Yadav said that he was transferred from the BSF camp to the headquarters and has been assigned a plumber’s duty and also told that he has been asked to take down the videos. Although Yadav requested Prime Minister to take a look into this matter.

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While confessing his lack of fear for loosing his job, Yadav also told India Today that he did not think action would be taken against him because his video had gone viral. “I am not afraid of losing my job…I have shown what the reality is at the post”. “If soldiers [are] benefited because of me, then I am ready to fight.”

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“Constable Tej Bahadur as an individual has a difficult past. From initial days of his career, he needed regular counselling. Different correction mechanics have been applied for the individuals welfare as he was habitual offender of absenteeism without permission, chronic alcoholism, misbehaving and using force with superior officers and certain other acts against good order and discipline,” rediff.com quoted the BSF statement as saying.
The statement claimed that because of such behavior, Yadav had mostly served on headquarters “under supervision of some dedicated superior officer.”

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The BSF claimed that “He has been sent only 10 days ago to the (current) place of deployment on road head to facilitate support to high altitude forward locations which he has shown in current selfie, on experimental basis to observe the improvements of past counselling.”

They also alleged that no one else had a problem with the food that was served when the DIG and the Commanding officer visited him and other BSF jawans last week.

Yadav belongs to the 29 battalion Seema Suraksha Bal. Jawans in the video could be heard saying, “Neither the media, nor any minister tries to take a note on how are we going through this (harsh weather). Our conditions are still worst. (humare halat wahi darbartar hain). After this, I will send three videos that will show how our officials are mistreating us. We do not want to blame any government, because they give everything we need, but our senior officials sell everything (for their own profit).”

The video serves two purposes of representing the rot in the system, it has also not gone down well with Yadav’s seniors. The BSF has meanwhile lodged an inquiry into Yadav’s allegations.

prepared by Saptaparni Goon of NewsGram. Twitter: @saptaparni_goon

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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.

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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