Saturday April 21, 2018

How sexual violence in neighbourhood affects your health

Researchers conducted interviews with nearly 350 adults in nine neighbourhoods in a major American city with high rates of poverty, unemployment and crime

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Sexual violence in neighborhood can affect the mental health of women. Pexels
Sexual violence in neighborhood can affect the mental health of women. Pexels
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  • Sexual violence in the neighbourhood can harm your health.
  • Neighbourhood plays a vital role in human behaviour.
  • Men can be more aware of what makes women feel insecure.

A study finds sexual violence in the neighbourhood can harm the physical and mental health of women. Neighbourhoods play a key role in the behaviour and development of people, previous studies show and some conditions — such as crime, segregation, poverty and disorder — can have harmful effects on health.

Researchers conducted interviews with nearly 350 adults in nine neighbourhoods in a major American city with high rates of poverty, unemployment and crime.

“Feeling unsafe, especially in and around your home, can erode physical and mental health,” said Dana M. Prince, co-author of the study and assistant professor at the Jack, Joseph and Morton Mandel School of Applied Social Sciences at Case Western Reserve University.

Researchers say men can be more aware of what makes women feel insecure. Pexels
Researchers say men can be more aware of what makes women feel insecure. Pexels

According to the researchers, feelings about the frequency of rape or other forms of sexual assault in a neighbourhood are significantly tied to women’s perceptions of its safety.

“Our results could mean men are less aware of sexual violence, or perhaps they do not feel comfortable reporting that it makes them feel less safe — perhaps both — while women tend to be socialised early on to be aware of the possibility of sexual attack,” Prince added.

Participants were asked how often particular crimes occurred in their neighbourhood in the past six months.

“Our results indicate that men can become more aware of how women feel about what contributes to and threaten their safety,” the researcher said.

The study was published in the Journal of Community Psychology. (IANS)

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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

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