speech recognition


Voice Recognition Market Size, Share, Growth, Trends, Analysis and Forecast 2018 to 2026 Credence Research

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According to a new market report published by Credence Research Inc., "Global Voice Recognition Market (By Components (Hardware and Software), By Application (Artificial Intelligence and Non-Artificial Intelligence), By End-Use Vertical (Automobile, BFSI, Consumer, Government, Healthcare, Home, Security & Automation, and Others))- Growth, Share, Opportunities, Competitive Analysis, and Forecast 2018 – 2026", the worldwide market for voice recognition is anticipated to grow by 14.5 per cent CAGR during the 2018-2026 forecast period. Voice recognition schemes are safety solutions used to either grant or deny access to people by recognizing and matching their voice patterns. More and more biometric safety solutions have been deployed in the banking and finance sectors to improve safety and customer experience. Government agencies and businesses across the globe, on the other side, are adopting biometric techniques to thwart safety threats. Increased incidences of fraud in multiple industries and enhanced adoption of mobile banking, particularly among e-commerce distributors, are anticipated to drive the global voice recognition market.


Speech-to-Text Selection - David Borish, PRIMO AI - Voice Tech Podcast ep.038 - Voice Tech Podcast

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David Borish is Chief Creative at PRIMO AI, a New York startup that recommends the highest performing Speech-to-text (STT) and Natural Language Understanding (NLU) services for a particular dataset and geographical region. We discover what the biggest problem with speech to text systems is today, and why trying to solve it by hiring data scientists can be prohibitively expensive. We also discuss the advantages of acquiring a technology patent, why David chose to recently enter the voice space, and the approach he takes when selecting his next entrepreneurial challenge. David is a seasoned startup veteran who believes passionately in the future of voice, and our conversation contains many valuable lessons to take away.


How to Make Neural Language Models Practical for Speech Recognition : Alexa Blogs

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An automatic-speech-recognition system -- such as Alexa's -- converts speech into text, and one of its key components is its language model. Given a sequence of words, the language model computes the probability that any given word is the next one. For instance, a language model would predict that a sentence that begins "Toni Morrison won the Nobel" is more likely to conclude "Prize" than "dries". Language models can thus help decide between competing interpretations of the same acoustic information. Conventional language models are n-gram based, meaning that they model the probability of the next word given the past n-1 words.


5 ways that future A.I. assistants will take voice tech to the next level Digital Trends

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Since Siri debuted on the iPhone 4s back in 2011, voice assistants have gone from unworkable gimmick to the basis for smart speaker technology found in one in six American homes. "Before Siri, when I talked about [what I do] there were blank stares," Tom Hebner, head of innovation at Nuance Communications, which develops cutting edge A.I. voice technology, told Digital Trends. "People would say, 'Do you build those horrible phone systems? That was one group of people's only interaction with voice technology." According to eMarketer forecasts, almost 100 million smartphone users will be using voice assistants by 2020.


Voice Technology And CRM: A New Partnership?

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That's what companies like Salesforce are expecting as they invest in technology like Einstein Voice Assistant to help make it even easier for sales staff to track, message, update, and notify their teams about relevant customer-oriented data. And you can be sure that the likes of Microsoft Dynamics, SAP and other other CRM leaders will follow closely with this capability in the coming year as voice technology picks up speed. But what do marketers and sales leaders need to know about this advancement? How will their work be impacted by voice technology and CRM? The short answer: voice is about to shape marketing and customer experience in big ways.


McDonald's acquires voice-recognition company to improve its drive-thru game

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McDonald's announced it will McBuy the Bay Area voice-recognition startup Apprente for an undisclosed amount. According to McDonald's, Apprente's "sound-to-meaning" technology handles "complex, multilingual, multi-accent and multi-item conversational ordering," and believes the technology will help streamline the drive-thru process -- even faster food, you say?? As the earth turns and the centuries change, so does the way people wish to order a Big Mac, and Micky D's has the cash to listen. Back in March, the company bought Dynamic Yield, which customizes drive-thru menus based on factors like weather, time of day, and customer order profiles. A month later, it invested in New Zealand app-designer Plexure, which will help connect customers to its new smart drive-thrus, among other things.


AI 'synthetic brains' will allow humans to be in '500 places at once'

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AI-powered synthetic brains will allow humans to operate 500 versions of themselves at once, according to the man behind Amazon's voice assistant. Igor Jablokov believes artificial intelligence will become so advanced we will be unable to distinguish between a real or "synthetic" mind. The CEO of Pryon previously founded Yap, a fully-automated cloud platform for voice recognition, which was snapped up by Amazon before being used for the popular Alexa. The device uses a non-human voice to communicate with users, but Igor warns such technology could change with terrifying consequences. He told the Financial Times: "People will not be able to tell if they are interacting with you or your AI proxy. "Right now, you could be doing two interviews at once.


Android developer's guide to 4 types of AI-based features for Android apps

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"Artificial Intelligence is about replacing human decision making with more sophisticated technologies" -- said by Falguni Desai Have you observed that majority of Android mobile applications you use today are engrossed with Artificial Intelligence enabled features -- either partially or fully? Well, these apps are not only Android-friendly apps but are AI enabled apps too. AI(artificial intelligence) enabled features have made these apps so smart that they are actually able to behave on behalf of human now. Many big brands are busy establishing their android application with such demanding features by ingraining the help of Android app development company. From Amazon to popular media platform like Facebook, they all are using AI enabled features in their application to cater user's or say would-be customers with more fastidious approaches.


Amazon makes Alexa Auto SDK 2.0 generally available

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In the shadow of a blockbuster Apple press conference earlier this afternoon, Amazon quietly announced the general availability of the Alexa Auto SDK 2.0, the latest version of the software development kit that enables automotive OEMs to integrate Alexa into their vehicles. This release ships with a suite of tools for enabling Alexa to play music, perform navigation, and control basic car functions, and for allowing access to the assistant even when internet connectivity is limited or nonexistent. To this end, the SDK includes ready-to-run sample apps for most automotive platforms and design guidelines, including C and Java libraries that facilitate the processing of audio inputs and triggers and help to establish a connection with the Alexa service. It also includes documentation for Android, Linux, Automotive Grade Linux (AGL), and QNX operating systems on ARM and x86 processor architectures. The Alexa Auto SDK 2.0 supports core Alexa functionality, such as speech recognition and text-to-speech, as well as other capabilities such as streaming media, notifications, weather reports, and over 90,000 first- and third-party voice apps.


McDonald's Acquires Apprente to Double Down on Tech

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When McDonald's spent over $300 million on big-data-crunching startup Dynamic Yield earlier this year, the move came as something of a surprise. Today the Golden Arches announced the acquisition of Apprente, a voice AI system focused on fast-food ordering. It's a niche, but it just paid off. Specific terms of the deal have not been disclosed. But the synergies are at least more immediately understandable.