speech

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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: Pindrop Security     Published Date: Mar 21, 2018
One of the largest retail banks in the U.S. sought to improve customer satisfaction in the call center by eliminating time-consuming processes. Limited by a nonspeech- enabled IVR, the bank was constrained to outdated authentication options, such as PIN numbers and knowledge-based authentication (KBA) questions. Long enrollment processes and authentication challenges were driving call handle times up, causing significant customer frustration. The bank turned to Pindrop for help. Using Pindrop’s multi-factor authentication solutions, the bank confidently moved authentication away from costly agent-based KBA questions to passively authenticating callers within the IVR. This not only reduced call handle times but also improved customer account protection, by assessing every caller for risk before enrollment and authentication.
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Pindrop Security
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: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: Microsoft     Published Date: Jul 20, 2018
Although AI research has been ongoing for decades, the past few years have seen a leap in practical innovations, catalyzed by vast amounts of digital data, online services, and enormous computing power. As a result, technologies such as natural-language understanding, sentiment analysis, speech recognition, image understanding, and machine learning have become accurate enough to power applications across a broad range of industries.
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Microsoft
Published By: Interactive Intelligence     Published Date: Oct 10, 2012
Read why the emergence of speech analytics will continue to help organizations realize value in this Research Perspective from Ventana Research, sponsored by Interactive Intelligence.
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customer experience, customer care, speech analytics
    
Interactive Intelligence
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
In a contact center environment, real-time analytics provide the live information needed to respond to difficult situations before a customer, a sale, or an opportunity is lost. Scott Bakken and David Patchen from MainTrax and Brandon Rowe from Interactive Intelligence discuss how real-time analytics help your business operate at optimal levels and experience increased growth and reduced costs.
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interactive intelligence, real time speech analytics, contact centers, data centers, real time analytics, productivity, revenue, retention rates, speech analytics, real time applications
    
Interactive Intelligence
Published By: NACR     Published Date: Feb 09, 2015
Do you know what the compliance issues are for your organization and the technology solutions you might consider? Download this guide to learn what you need to know.
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nacr, compliance, technology, technology solutions, regulations, software compliance – contact center, data security, customer security, hippa, biometrics, wfo, speech analytics, sarbanes-oxley, big data, telecommuting, remote agent, telemarketing, caller id, call recording, predictive dialers
    
NACR
Published By: Intermec     Published Date: Aug 01, 2008
Find out how each aspect of perfect order performance (On-Time Delivery, Complete Orders, Damage-free Delivery, Accurate Invoicing and Documentation) can be improved through enhancements to data collection processes and technologies including RFID, speech, imaging technology, and GPS.
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rfid, on-time delivery, complete orders, perfect order, bar code, manufacturing, metrics, speech, werc, eps, roa, intermec
    
Intermec
Published By: Intermec     Published Date: Jun 02, 2009
The process of choosing the right mobile computer for your business can seem like a daunting task. Yet with a little guidance you can select the computer best suited for your environment and workforce.
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voip, voice-over-ip, rfid, ptt, push-to-talk, speech, mobile, mobile computers, workforce management, printing
    
Intermec
Published By: IBM     Published Date: Feb 04, 2015
Telerx reveals new insights into consumer behavior with speech-to-text analytics.
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consumer behavior, speech-to-text analytics, telerx, consumer intelligence, consumer research
    
IBM
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