In this lesson, you’ve explored the powerful capabilities of OpenAI’s Whisper model for voice transcription and translation, as well as the TTS API for generating lifelike spoken audio. These tools enable the creation of apps that interact with users through both text and speech, enhancing accessibility and providing a more immersive experience.
You learned how to use the Whisper model to transcribe audio files into text, providing detailed instructions on preparing audio files and using the transcription API.
You explored the translation capabilities of the Whisper model, which allows for converting audio in any supported language into English text.
You discovered how to generate natural-sounding speech from text using the TTS model, including selecting voices, adjusting speed, and saving the output in various audio formats.
Finally, you’ve designed a basic voice interaction feature in a grammar-feedback app that uses all these technologies.
See forum comments
This content was released on Nov 14 2024. The official support period is 6-months
from this date.
Recap of voice transcription and synthesis using Whisper and TTS.
Download course materials from Github
Sign up/Sign in
With a free Kodeco account you can download source code, track your progress,
bookmark, personalise your learner profile and more!
Previous: Demo of Designing a Basic Voice Interaction Feature in an App
Next: Quiz: Speech Recognition & Synthesis
All videos. All books.
One low price.
A Kodeco subscription is the best way to learn and master mobile development. Learn iOS, Swift, Android, Kotlin, Flutter and Dart development and unlock our massive catalog of 50+ books and 4,000+ videos.