Effective December 1, 2018, the IBM Watson Speech to Text and Text to Speech services will be removing the free tiers from their Standard plans (i.e., the 1,000-free-minute tier in Speech to Text and 1,000,000-free-character tier in Text to Speech).
This post is an excerpt from our recent solution tutorial with step-by-step instructions showing how easy it is to quickly create a voice-enabled Android-native chatbot with Watson Assistant, Text to Speech, Speech to Text and mobile analytics services on IBM Cloud.
On Nov 1st, 2017, both Watson Speech to Text and Watson Text to Speech released Lite Plans, as part of IBM Cloud Platform’s initiative to roll out Lite Plans across public cloud services.
This year, with the opportunity of a new working location within the new press building, our team undertook an exercise to re-imagine the client; members and guests experience for the IBM at The Masters Program. The focus for us was to bring IBM’s cognitive ambition and capabilities to the forefront, to demonstrate that Watson can be applied to every activity and touch point of an experience, and improve it. The idea formed from this approach became known as our “Cognitive Room”.
In this blog, we will focus on the third and final tutorial on using the Text to Speech service.
This past weekend I was mentoring at a hackathon in Prague focused on the Internet of Things. The project of the winners used an older version of a robot called RoboMe that was controlled via the microphone jack through a mobile phone. Even using an old model, the team managed to integrate Watson Text To Speech, Speech To Text and Dialog service together into a working product using IBM Bluemix Cloud and Watson capabilities in just three days!