Speech-to-text AssemblyAi

Bill — Mon, 18 Nov 2024 18:36:08 +0000

This is a submission for the AssemblyAI Challenge : Sophisticated Speech-to-Text.

What I Built

Using the assemblyAI's test audio file, I transcribed a conversation between a weather podcast host and his expert guest discussing wildfires.

Using the AI's ability to detect individual speakers, I transcribed the audio using the utterance feature and labeled each speaker either 'host' or 'guest', respectively.

Rather than display all the text, I allow readers to paginate through sections of the conversation so they can read without scrolling on a standard-size computer screen.

Click the label associated with a section of host-guest text to view it on a webpage.

Demo

Link to project
Github

Journey

I used AssemblyAI's speech-to-text Model to transcribe an audio file into a user-friendly, readable format.

used AssemblyAI to transcribe from an audio file and differentiate between speakers.
rendered in a user-friendly, readable format.
tested successfully for accessibility (tabs through nicely).
creatively used pagination to break up the conversation into sections.
let users focus on a single question-and-answer section.

Prompts

I accomplished the speech-to-text prompt with the provided audio file but did not use other prompts like streaming audio.

Team Member Submission