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  • Google Is Transforming Voice Research for Business Intelligence

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    Voice data is here with us. It’s going to storm in almost every domain and discipline. However, the voice is taking time to turn noisy on the internet. But, it’s going to dominate very soon.  

     

    “Many of the two billion plus Android users worldwide would love listening to podcasts but have not yet been introduced to them or aren’t sure where to find them. As awareness of and access to podcasting grows, we will see especially strong growth among Android users,” said Zack Reneau-Wedeen, Founder & Product Manager, Google Podcasts.

     

    Apple, Spotify, Google, Pandora and a lot more are already shaking up through the podcasts. They ensure the lion’s share in the voice market. What made them inclined to the audio data is a deep research. They came across the fact that fumbling around on their mobile phones every minute to pick up the next story is a tedious job. So, they switched to podcasts.

     

     

    Now, shorter content is a new flavor of the voice market. People are falling for shorter audio content, as Twitter constrains tight character limit for great experience. This is why 50% of all the US homes are a big fan of podcasts, according to Nielsen report. Infinite Dial researched that podcast listening is up by 2% from 29% to 31% on a computer and from 69% to 71% of the smartphone.

     

    I bet that you would have heard the voice of Google Maps while asking for directions in your car. Even, Google Home and Google Translate entertain you with its voice assistance. In the nutshell, its penetration is progressing by leaps and bounds in almost every walk of life.

     

    Why? Why is it becoming a trend?

    The inception of neural network emerges as a silver lining. It simulates a human voice with the help of machine learning and artificial intelligence. The machine learning models can resonate with realistic human-like speech. Besides, there are many other advantages:   

     

    Advantages of voice data:

    • Speech interfaces let you interact naturally, as with Google Duplex.
    • You can conveniently communicate with digital devices.
    • Visually impaired & illiterate people can easily navigate the content over the internet.
    • Language is no barrier.

     

    Challenges associated with voice data research:

    Along with exciting progress, there are many risks with this technology. These are challenges that can paralyze prospects of business intelligence, which could be a breakthrough. Let’s have a glimpse of a few of those challenges with the voice data:

     

    1. Cyber spies or malicious actors can play with text-to-speech tool to make your audience fool. It can fabricate recordings to defame the public figure.

     

    Voice data is here with us. It’s going to storm in almost every domain and discipline. However, the voice is taking time to turn noisy on the internet. But, it’s going to dominate very soon.  

     

    “Many of the two billion plus Android users worldwide would love listening to podcasts but have not yet been introduced to them or aren’t sure where to find them. As awareness of and access to podcasting grows, we will see especially strong growth among Android users,” said Zack Reneau-Wedeen, Founder & Product Manager, Google Podcasts.

     

    Apple, Spotify, Google, Pandora and a lot more are already shaking up through the podcasts. They ensure the lion’s share in the voice market. What made them inclined to the audio data is a deep research. They came across the fact that fumbling around on their mobile phones every minute to pick up the next story is a tedious job. So, they switched to podcasts.

     

    Now, shorter content is a new flavor of the voice market. People are falling for shorter audio content, as Twitter constrains tight character limit for great experience. This is why 50% of all the US homes are a big fan of podcasts, according to Nielsen report. Infinite Dial researched that podcast listening is up by 2% from 29% to 31% on a computer and from 69% to 71% of the smartphone.

     

    I bet that you would have heard the voice of Google Maps while asking for directions in your car. Even, Google Home and Google Translate entertain you with its voice assistance. In the nutshell, its penetration is progressing by leaps and bounds in almost every walk of life.

     

    Why? Why is it becoming a trend?

    The inception of neural network emerges as a silver lining. It simulates a human voice with the help of machine learning and artificial intelligence. The machine learning models can resonate with realistic human-like speech. Besides, there are many other advantages:   

     

    Advantages of voice data:

    • Speech interfaces let you interact naturally, as with Google Duplex.
    • You can conveniently communicate with digital devices.
    • Visually impaired & illiterate people can easily navigate the content over the internet.
    • Language is no barrier.

     

    Challenges associated with voice data research:

     

    Along with exciting progress, there are many risks with this technology. These are challenges that can paralyze prospects of business intelligence, which could be a breakthrough. Let’s have a glimpse of a few of those challenges with the voice data:

     

    1. Cyber spies or malicious actors can play with text-to-speech tool to make your audience fool. It can fabricate recordings to defame the public figure.

    2. They can falsify authentication system by feeding duplicate voice authentication.

    3. The revelation of the deep fakes, or the fabricated audio/video created by machine learning models, can dismantle the trust in media.

    4. Authentic data will lose its value, as the malicious actors can easily prove wrong as a truth.

    5. The platforms, like Search and YouTube that serve great digital content, will lose their goodwill.

     

    Google News Initiative (GNI) for countering synthetic voices:

     

    The GNI is evolved to strengthen news industry. It is achieved through these objectives:

     

    1. Boost and strengthen quality content: Google has evolved models through events that track breaking news fabricated from the inaccurate content. The GNI algorithms are fed with the models that recognise those false patterns. Thereby, the machine learning models are adjusted with the signals that tap more authentic content. This is how they are able to tackle misinformation and disinformation during polling and news broadcasting. Poynter Institute, Stanford University, and the Local Media Association in collation with Google have evolved MediaWise, a U.S. project shaped up to enhance literacy about digital information in young consumers.

     

    2. Evolve BI for sustainable growth: Advertisements are an incredible source of revenue. It’s because they are the best prospects to expand beyond ad revenue. Google came with AMP and native apps to support faster and better ad experience for the mobile websites. Besides, it gifted ‘Subscribe with Google’-a platform to subscribe to various news outlets under a roof. Thereby, the publishers promote engagement across Google and the internet.

     

    With ‘News Consumer Insights’, the leading search engine has provided all sized organisations with the assistance of BI driven through collecting, analyzing and understanding users’ data. A project namely St. Louis Post-Dispatch witnessed 150 percent increment in subscription, which translated from page-views month-over-month.

     

    3. Technological innovation: The epic search engine employs innovative technologies for injecting transformation in the newsroom efficiency and content. It’s where the audio data take rise. Recently, it empowered ‘South China Morning Post’ with ‘Google Earth’ to dive into the VR experience for creating an immersive story of the evolution of Hong Kong.

     

    Moreover, the journalist community will be able to explore secure internet access through an open source tool called Outline through Jigsaw. This tool will let them install VPN sans assistance of any tech savvy.

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