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Voice Search

Hey Alexa "What Is Voice Search?"

Speech recognition technology has made our lives even easier and shopping more effortless. More consumers are catching on to the benefits of using a virtual assistant for their needs. Forecasts predict by 2024, the number of digital voice assistants will reach 8.4 billion units. This number is higher than the world’s population. Additionally, nearly one-third of the U.S. population has a smart speaker device.

So what is voice search? Voice search eliminates a layer of effort, enabling consumers to leverage technology to answer a question or simply to find out more information about a topic. Voice search functionality works through the automatic speech recognition system (ASR) to transform voice signals into text.

This voice recognition technology allows smart device users to search by simply using their voices. The voice search technology will then translate spoken words into text. Then, the search engine uses the text as if it’s a standard search query and delivers relevant search results. Over time, machine learning Improves to better understand natural human language and the searcher’s intent to surface the best results possible.

Artificial intelligence (AI) assists personal voice assistant devices with audio quality, enhanced battery life, and voice control. Natural language processing enhancements continue to better understand the questions and commands given by the end user.

Hey Alexa

"What Is Voice Search?"

Speech recognition technology has made our lives even easier and shopping more effortless. More consumers are catching on to the benefits of using a virtual assistant for their needs. Forecasts predict by 2024, the number of digital voice assistants will reach 8.4 billion units. This number is higher than the world’s population. Additionally, nearly one-third of the U.S. population has a smart speaker device.

So what is voice search? Voice search eliminates a layer of effort, enabling consumers to leverage technology to answer a question or simply to find out more information about a topic. Voice search functionality works through the automatic speech recognition system (ASR) to transform voice signals into text.

This voice recognition technology allows smart device users to search by simply using their voices. The voice search technology will then translate spoken words into text. Then, the search engine uses the text as if it’s a standard search query and delivers relevant search results. Over time, machine learning Improves to better understand natural human language and the searcher’s intent to surface the best results possible.

Artificial intelligence (AI) assists personal voice assistant devices with audio quality, enhanced battery life, and voice control. Natural language processing enhancements continue to better understand the questions and commands given by the end user.

Hey Siri "How Does Voice Search Work?"

Voice search is complex. However, having a basic understanding can help guide your voice search optimization endeavors. Any time a voice search query is conducted, a voice search assistant will, in turn:

  • Filter the sounds, ensuring it focuses on the voice query separate from background noises.

  • Digitize the voice search query, turning sound waves into digital data.

  • Conduct a voice analysis by processing the digital data.

  • Connect to external data sources, such as Google Search, to find and deliver relevant answers.

  • Translate the information to satisfy the searcher’s intent.

  • Recognize patterns and compare the query to existing samples in the database.

Hey Siri

"How Does Voice Search Work?"

Voice search is complex. However, having a basic understanding can help guide your voice search optimization endeavors. Any time a voice search query is conducted, a voice search assistant will, in turn:

  • Filter the sounds, ensuring it focuses on the voice query separate from background noises.

  • Digitize the voice search query, turning sound waves into digital data.

  • Conduct a voice analysis by processing the digital data.

  • Connect to external data sources, such as Google Search, to find and deliver relevant answers.

  • Translate the information to satisfy the searcher’s intent.

  • Recognize patterns and compare the query to existing samples in the database.

Hey Google "what is the difference between Voice Search and Traditional Search?"

Voice search arguably delivers quicker results than if a searcher uses their mobile phone or desktop computer to type out a query. Additionally, how a searcher communicates with a voice search device will be different than if they were to type out the same informational need. Voice search users often talk in a more conversational, natural tone as if they are talking to a friend. They likely will use long-tail keywords in their query.

For example, when searching for an optometrist, prospective customers may conduct a voice search query for “where can I find an optometrist near the Haight Ashbury neighborhood in San Francisco?” Mobile phone users conducting a search may instead simply type “optometrist near me” in the search bar. Both location-based search queries will return relevant search results, however, as you can see, one is much more specific (and longer) than the other.

Hey Google "what is the difference between Voice Search and Traditional Search?"

Voice search arguably delivers quicker results than if a searcher uses their mobile phone or desktop computer to type out a query. Additionally, how a searcher communicates with a voice search device will be different than if they were to type out the same informational need. Voice search users often talk in a more conversational, natural tone as if they are talking to a friend. They likely will use long-tail keywords in their query.

For example, when searching for an optometrist, prospective customers may conduct a voice search query for “where can I find an optometrist near the Haight Ashbury neighborhood in San Francisco?” Mobile phone users conducting a search may instead simply type “optometrist near me” in the search bar. Both location-based search queries will return relevant search results, however, as you can see, one is much more specific (and longer) than the other.

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Manage, Organize, and Track All Your Ad Campaigns Easily

Discover a comprehensive solution tailored for business owners with our Customer Relationship Management (CRM) software. Delegate tasks seamlessly and focus on your core operations while benefiting from robust automation features, website hosting, development, and marketing tracking capabilities. Enhance your online presence with integrated advertising, social media management, e-commerce, and shopping tools, ensuring streamlined sales processes.

Experience seamless integration with popular platforms such as QuickBooks, Shopify, and Google suite, optimizing operational efficiency. Navigate crises effortlessly with built-in crisis management, while monitoring reviews and managing your reputation effortlessly. Explore the versatility of our software with sales funnel creation, payment processing, and conversational AI plugins for lead nurturing and conversion, suitable for all industries and niches.
See how Tiaten CRM can help you stay focused on what matters most, Your Business.