Imagine an AI system that can transcribe spoken words into text and generate natural sounding spoken audio from written text. In this lesson, you’ll be introduced to speech recognition using OpenAI’s Whisper model. You’ll learn how to transcribe audio files into text and even translate spoken content into English. Additionally, you’ll jump into text-to-speech capabilities, discovering how to produce lifelike spoken audio from text using OpenAI’s TTS (text-to-speech) model.
By the end of this lesson, you’ll be able to:
Implement speech recognition using OpenAI’s Whisper model.
Use OpenAI’s text-to-speech capabilities for audio synthesis.
Design a basic voice interaction feature in an application.
These skills will not only provide you with a solid foundation in speech technologies but also equip you with practical knowledge to integrate voice capabilities into your projects, enhancing user interaction and accessibility.
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This content was released on Nov 14 2024. The official support period is 6-months
from this date.
This is an introduction to speech recognition and synthesis, covering the capabilities of OpenAI’s Whisper model and text-to-speech (TTS) technology. This lesson aims to teach students how to implement speech recognition, generate lifelike spoken audio, and design a basic voice-interaction feature.
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