How People Really Use Smart Speakers Will Not Shock You

June 13, 2017

Business Insider tells us a story that we already know, but with a new spin: “People Mainly Use Smart Speakers For Simple Requests.”  The article begins that vocal computing is the next stage in computer evolution.  The hype is that the current digital assistants like Alexa, Siri, and Google Assistant will make our lives easier by automating certain tasks and always be ready to answer our every beck and call.

As to be expected and despite digital assistants advancements, people use them for the simplest tasks.  These include playing music, getting the weather report, and answering questions via Wikipedia.  People also buy products on their smart speakers, much to Amazon’s delight:

Voice-based artificial intelligence may not yet live up to its hype, but that’s not much of a surprise. Even Amazon CEO Jeff Bezos said last year that the tech is closer to “the first guy up at bat” than the first inning of its life. But Bezos will surely be happy when more than just 11% of smart speaker owners buy products online through their devices.

Voice-related technology has yet to even touch the horizon of what will be commonplace ten years from now.  Bitext’s computational linguistic analytics platform that teaches computers and digital assistants to speak human is paving the way towards that horizon.

Whitney Grace, June 13, 2017

The Next Digital Assistant Is Apple Flavored

June 6, 2017

Amazon Alexa dominated the digital assistant market until Google released Google Assistant.  Both assistants are accessible through smart devices, but more readily through smart speakers that react to vocal commands.  Google and Amazon need to move over, because Apple wants a place on the coffee table.  Mashable explores Apple’s latest invention in, “Apple’s Answer To The Amazon Echo Could Be Unveiled As Early As June.”

Guess who will be the voice behind Apple’s digital assistant?  Why Siri, of course!  While Apple can already hear your groans, the shiny, new smart speaker will distract you.  Apple is fantastically wonderful at packaging and branding their technology to be chic, minimalist, and trendy.  Will the new packaging be enough to gain Siri fans?  Apple should consider deploying Bitext’s computational linguistic platform that renders human speech more comprehensible to computers and even includes sentimental analysis.  This is an upgrade Siri desperately needs.

Apple is also in desperate need to upgrade itself to the increasing demand for smart home products:

Up until now, people married to the Apple ecosystem haven’t had many smart-home options. That’s because the two dominant players, Echo and Google Home, don’t play nice with Siri. So if people wanted to stick with Apple, they only really had one option: Wait it out.
That’s about to change as the new Essential Home will work with Apple’s voice assistant. And, as an added bonus, the Essential Home looks nice. So nice, in fact, that it could sway Apple fans who are dying to get in on the smart-home game but don’t want to wait any longer for Apple to get its act together. “

The new Apple digital assistant will also come with a screen, possibly a way to leverage more of the market and compete with the new Amazon Echo Show.  However, I thought the point of having a smart speaker was to decrease a user’s dependency on screen-related devices.  That’s going to be a hard habit to break, but it’s about time Apple added its flavor to the digital assistant shelf.

Whitney Grace, June 6, 2017

Helping Machines Decode the World of Online Content

June 5, 2017

With voice search poised to overtake conventional search, startups like WordLift are creating an AI-based algorithm that can help machines understand content created by humans in a better way.

The Next Web in an article titled Wordlift Is Helping Robots Understand What Online Articles Are Really About says:

The evolution of today’s search engines and the rapid adoption of personal assistants (PAs) – capable of understanding user intent and behaviors through available data – require an upgrade of the existing editorial workflow for bloggers, independent news providers, and content marketers.

Voice activated search assistants rely on Metadata for understanding what the content is about. Moreover, metadata alone is unable to tell the AI what is the user intent. WordLift intends to solve this problem by applying advanced AI for understanding the content and make it voice search engine friendly. Structured data, understanding of textual content are some of the strategies WordLift will use to make the content voice search engine friendly.

Vishal Ingole, June 5, 2017

Voice Assistant Apps Have Much Room to Grow

May 31, 2017

Recent excitement around voice assistants is largely based on the idea that, eventually, a thriving app market will develop around them. However, reports Recode, “Alexa and Google Assistant Have a Problem: People Aren’t Sticking with Voice Apps They Try.” Though sales of Amazon’s Alexa and the Google Assistant platforms over the holidays were encouraging, startup VoiceLabs recently issued a report that indicates most apps entice few users to give them a try. Furthermore, those who have dabbled in voice apps have apparently found little to tempt them back. See the article for some statistics or the report for more. Writer Jason Del Rey observes:

The statistics underscore the difficulty Amazon and Google are having in getting Echo and Home owners to discover and use new voice apps on their platforms. Instead, many consumers are sticking to off-the-shelf actions like streaming music, reading audiobooks and controlling lights in their homes.

 

Those are all good use cases for the voice platforms, but not sufficient to build an ecosystem that will keep software developers engaged and lead to new transformative revenue streams. As a result, the numbers highlight the opportunity for Amazon, Google or others like Apple to stand out by helping both consumers and developers solve these discovery and retention problems.

The founders of VoiceLab see a niche, and they are jumping right into it. Amazon and Google, thus far, supply only limited usage data to would-be app developers, so VoiceLabs is lending them their own voice analytics tool, VoiceInsights. They are counting on the app market to pick up, and are determined to help it along. So far, this tool is free; the company expects to start charging for it once Amazon and/or Google provide a way to monetize apps. When that happens, developers will already be comfortable with VoiceLabs—well played. Probably. Founded in May 2016, VoiceLabs is based in San Francisco.

We, too, are paying close attention to the rise of voice assistants and their related apps. Watch for the debut of our new information service, Beyond Alexa.

Cynthia Murrell, May 31, 2017

Innovations in Language Understanding

May 25, 2017

AI and robotics have advanced significantly. However, machines are yet to achieve that level of sophistication in language understanding. The work is in progress as these trends indicate.

Abbyy in an eBook titled Killer Language Understanding Innovations says:

Pioneering advances in natural language processing and machine vision are re-defining the computing landscape. And disrupting every single industry in the process.

One of the major trend is training chatbots to automate the entire customer services. Chatbots if become capable of interacting in natural language, it would revolutionize several industries. Another trend is combining geospatial data with language understanding to thwart terrorist threats.

In a corporate domain, decision making can become easier if AI is able to decipher the data an organization has and provides real-time actionable inputs. Similarly, data extraction which is still is a manual process can be expedited with optical recognition capabilities of machines.

These are few of the trends that are dominating the language innovations. You can read more about it by clicking here.

Vishol Ingole, May 25, 2017

New AI on Personal Digital Assistant Horizon

May 22, 2017

Computer scientists at Princeton University have developed a technology that allows the user to fully edit voice recordings using an intelligent algorithm.

Science Daily in a report titled Technology Edits Voices Like Text says that:

The software, named VoCo, provides an easy means to add or replace a word in an audio recording of a human voice by editing a transcript of the recording. New words are automatically synthesized in the speaker’s voice even if they don’t appear anywhere else in the recording.

The system is capable of recreating voice of the user using an intelligent algorithm. This makes adding words to pre-recorded audio recordings easier. The same technology can also be used to create a custom robotic voice for digital personal assistants.

Currently available audio editing software are capable of snipping and patching small segments of a recording and cannot add non-existent words. Algorithm of VoCo after analyzing the entire recording is able to synthesize any word without difficulty. At this speed, do we see the current breed of rock and pop artists disappearing?

Vishol Ingole, May 22, 2017

Voice Recognition Software Has Huge Market Reach

May 3, 2017

Voice recognition software still feels like a futuristic technology, despite its prevalence in our everyday lives.  WhaTech explains how far voice recognition technology has imbedded itself into our habits in, “Listening To The Voice Recognition Market.”

The biggest example of speech recognition technology is an automated phone system.  Automated phone systems are used all over the board, especially in banks, retail chains, restaurants, and office phone directories.  People usually despise automated phone systems, because they cannot understand responses and tend to put people on hold for extended periods of time.

Despite how much we hate automated phone systems, they are useful and they have gotten better in understanding human speech and the industry applications are endless:

The Global Voice Recognition Systems Sales Market 2017report by Big Market Research is a comprehensive study of the global voice recognition market. It covers both current and future prospect scenarios, revealing the market’s expected growth rate based on historical data. For products, the report reveals the market’s sales volume, revenue, product price, market share and growth rate, each of which is segmented by artificial intelligence systems and non-artificial intelligence systems. For end-user applications, the report reveals the status for major applications, sales volume, market share and growth rate for each application, with common applications including healthcare, military and aerospace, communications, and automotive.”

Key players in the voice recognition software field are Validsoft, Sensory, Biotrust ID, Voicevault, Voicebox Technologies, Lumenvox, M2SYS, Advanced Voice Recognition Systems, and Mmodal.  These companies would benefit from using Bitext’s linguistic-based analytics platform to enhance their technology’s language learning skills.

Whitney Grace, May 3, 2017

 

Voice Recognition Software Has Huge Market Reach

March 3, 2017

Voice recognition software still feels like a futuristic technology, despite its prevalence in our everyday lives.  WhaTech explains how far voice recognition technology has imbedded itself into our habits in, “Listening To The Voice Recognition Market.”

The biggest example of speech recognition technology is an automated phone system.  Automated phone systems are used all over the board, especially in banks, retail chains, restaurants, and office phone directories.  People usually despise automated phone systems, because they cannot understand responses and tend to put people on hold for extended periods of time.

Despite how much we hate automated phone systems, they are useful and they have gotten better in understanding human speech and the industry applications are endless:

The Global Voice Recognition Systems Sales Market 2017report by Big Market Research is a comprehensive study of the global voice recognition market. It covers both current and future prospect scenarios, revealing the market’s expected growth rate based on historical data. For products, the report reveals the market’s sales volume, revenue, product price, market share and growth rate, each of which is segmented by artificial intelligence systems and non-artificial intelligence systems. For end-user applications, the report reveals the status for major applications, sales volume, market share and growth rate for each application, with common applications including healthcare, military and aerospace, communications, and automotive.

Key players in the voice recognition software field are Validsoft, Sensory, Biotrust ID, Voicevault, Voicebox Technologies, Lumenvox, M2SYS, Advanced Voice Recognition Systems, and Mmodal.  These companies would benefit from using Bitext’s linguistic-based analytics platform to enhance their technology’s language learning skills.

Whitney Grace, May 3, 2017

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