Watson Speech: Creating Voice Interfaces Using Speech APIs
Watson AI · Data, Analytics, and AI
Course Overview
Integrate IBM Watson Speech to Text and IBM Watson Text to Speech into applications to provide a voice interface.
Voice technologies are rapidly reshaping how businesses interact with customers, automate operations, and analyze conversations. Today’s AI systems can deliver fast, accurate, and natural-sounding speech capabilities across multiple languages, supporting use cases such as customer self-service, live agent assistance, real-time analytics, and more.In this course, learners will explore how to apply IBM Watson Speech to Text and Watson Text to Speech to build voice-enabled solutions tailored to their unique business needs.By the end of the course, participants will have the skills to design, customize, and integrate AI-powered voice solutions that deliver seamless, human-like interactions across multiple platforms.
Who Should Attend
This course is intended for • Anyone looking to automate transcribing and synthesizing speech by using Watson Speech to Text and Text to Speech Technology • Practicing AI specialists looking to add speech capabilities to their existing AI-powered services, such as AI assistants and AI agents • Practicing Data Scientists looking to get insights from speech and text analysis • Business leaders looking to understand the capabilities of Watson Speech to Text and Text to Speech, and apply this technology to solve related domain problems • Anyone looking to understand the process of integrating speech-to-text or text-to-speech with an AI assistant or AI agent
Prerequisites
Before taking this course, you should have: • Basic Python • Basic knowledge of RESTful API • General use of IBM Cloud and an IBM Cloud account
IBM Digital Badge Available
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Course Details
- Course Code
- W7L168G
- Level
- Intermediate
- Duration
- 0,875 days
- Brand
- Watson AI
- Category
- Data, Analytics, and AI
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