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Published By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
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source, language, english, spanish, speech to text, database, analytics, audio message, support
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: IBM     Published Date: Jun 25, 2018
Incorporating Watson Assistant into their “Easy System”, Staples Inc. enhanced their ordering interface and product support to be more seamless, whether via their iconic Easy Button, through the app, over Facebook Messenger, or with a Slackbot. See how Staples used Watson APIs to build a cognitive ordering ecosystem for customers, incorporating speech-to-text capabilities and leveraging on a massive amount of back-end and customer data. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: IBM     Published Date: Feb 04, 2015
Telerx reveals new insights into consumer behavior with speech-to-text analytics.
Tags : 
consumer behavior, speech-to-text analytics, telerx, consumer intelligence, consumer research
    
IBM
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