IBM Watson Text to Speech vs. Murf AI

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.

Incentivized

• 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.

Incentivized

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

Incentivized

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.

Incentivized

• 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.

Incentivized