IBM Watson Text to Speech vs. Wordbee

I advise Watson for all scenarios where you need AI to speak. I don't use this for this goal, but I suppose that could be a good solution for tourism and travel: companies in the hospitality industry can make it easier for people to
get around and offer tours in numerous languages, all at the same time. In telecommunications, could be used to create customized messaging that the caller can use with customers, and it can generate words from a customer’s records that are read to them in a professional and friendly voice. It's very good for English, for Italian is a little "robotic" but the pronunciation is right.

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It is easy to view two columns of source and target, and when using the filter to see just untranslated segments. TM and matches can be seen and differentiated easily. Scenarios where it is less appropriate are their spellcheck and filter areas, which could be improved by adding more options.

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• Improve customer experience and engagement.
• Offers both on-premise and cloud deployments.
• Automate requests and transactions in our agency.
• Voice recognition.
• Allows me to choose dialect which help select accent of the selected speaker.

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• Different colors to differentiate the status of the segment. One can click on the segment and change the color for the segments that were translated and those that still need to be reviewed.
• Machine translation interface. There are three different machine translators at the side of the segments.
• TM can be seen with matches highlighted at the side.

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• Add sentiment variation.
• Add parameter in order to change the characteristic of the voice.
• Use custom voice in order to tune the speaker.

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• Find and replace option could be improved to be easier.
• The filter could have more options.
• Spellcheck and QA need to be improved because I can not see it as an option in the online interface of my client. I need to download the document to do the spell check, and then correct the errors with the find and replace option.

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I've never been a fan of the robotic voice of text-to-speech tools and I've always thought they sounded flat and bland. Until I tried IBM Watson Text to Speech, that is. This service uses advanced deep learning techniques to synthesize speech output in natural-sounding voices. I was blown away by how good the voices were that I've been using it for personal stuff like journaling and brainstorming sessions. And I'm definitely going to be using this for podcasting and my YouTube channel.

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I did not choose Wordbee, but I use it with one of my clients who provides my login details.

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• Enhance rapid and convenient customer interaction.
• Client issues are easy to solve by allocating critical info in their native language.
• Automating requests and transactions reduce hold time which improves customer satisfaction.

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• Saving time with the help of the tool with the TM and machine translation options.
• Having knowledge-- knowing how to use this tool helps to get new clients who also use this tool.
• I can add it to my CV and, depending on the workload, I may consider buying it.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info