Watson APIs

Walk through the steps to deploy a speech-to-text service in Red Hat OpenShift using a Kubernetes cluster

Walk through the steps to deploy a text-to-speech service in Red Hat OpenShift using a Kubernetes cluster

Walk through the steps of installing a customizable Watson Speech to text Library for Embed service on Red Hat OpenShift.

Learn how to get your own speech with specific customization.

Create a web app that takes in text and analyzes it for sentiment using the IBM Watson Natural Language Understanding APIs.

Embed text-to-speech AI into your applications using the watson_nlp library and the Watson text to Speech service.

Start the IBM Watson Speech to text Service on a Kubernetes cluster, preprocess a speech data set, and use the Watson Speech to text Service to transcribe speech data to extract meaningful insihts.

Get started quickly using IBM Watson Libraries with this list of links to help you find the information you need

Learn how to implement voice over webchat using watsonx Assistant, which means interacting with a chatbot with your voice instead of typing. You'll also get a demonstration on how to connect watsonx Assistant with Wikipedia for question and answers using voice to communicate questions and responses.

Use Watson NLP and Python to create an application that performs Tone Classification on user-supplied texts.