Delve into the groundbreaking capabilities of Amazon Polly in revolutionizing text-to-speech applications across diverse sectors. Starting with the basics of Polly's text-to-speech technology, you will discover how to preprocess input texts to ensure clarity and effectiveness in speech output. You will learn how to install, design, and use Polly's rich set of voices and languages to create dynamic and engaging audio content for various purposes, from audiobooks to customer service chatbots. Then you will explore Polly's customization options, including adjusting speech rate, pitch, and emphasis to produce natural-sounding speech that fits your specific needs. Next, you will investigate security, speech synthesis, and how to implement Speech Synthesis Markup Language (SSML) tags to add pauses, adjust pronunciation, and control the volume of the speech output, enhancing the listening experience. Finally, you will examine best practices for managing and optimizing your Polly usage to keep costs down while maintaining high-quality speech output.
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Syllabus
- discover the key concepts covered in this course
- provide an overview of Amazon Polly and its role in text to speech generation
- identify key features of Amazon Polly for implementing text to speech generation
- outline various ways to leverage speech generation using Amazon Polly, including neural text to speech (TTS) and Speech Synthesis Markup Language (SSML) tags
- use Amazon Polly's speech to text tool
- set up Amazon Polly and use Polly on the console and with the AWS command line interface (CLI)
- install and configure Amazon Polly for Windows and use Polly in applications
- synthesize UTF-8, plain text, or SSML into a stream of bytes with the Amazon Polly application programming interface (API)
- log Polly API calls with AWS CloudTrail and integrate CloudWatch with Amazon Polly
- describe various voices and options using Amazon Polly, including bilingual voices, speed, and supported languages
- provide an overview of neural TTS (NTTS) and how it can be used to create high-quality voice output
- describe speech marks and how they're used, including types of speech marks and requesting speech marks
- describe various API actions and how they can be implemented with Amazon Polly
- apply best practices when using Amazon Polly
- outline various data types that can be used with Amazon Polly, including Lexicon, LexiconAttributes, LexiconDescription, SynthesisTask, and Voice
- summarize the key concepts covered in this course