Episode Details

Back to Episodes
Cloud or Local Speech-to-Text? We Built the Same App Both Ways. Here's What We Learnt.

Cloud or Local Speech-to-Text? We Built the Same App Both Ways. Here's What We Learnt.

Published 12 hours ago
Description

This story was originally published on HackerNoon at: https://hackernoon.com/cloud-or-local-speech-to-text-we-built-the-same-app-both-ways-heres-what-we-learnt.
How a hackathon dictation app running Speechmatics on-device speech-to-text exposed why real-time diarization needs GPU acceleration, CoreML, and DirectML.
Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #speech-to-text, #local-ai, #on-device-ai, #speech-to-text-workflows, #local-text-to-speech, #local-llm, #ai-model-running-locally, #good-company, and more.

This story was written by: @speechmatics. Learn more about this writer by checking @speechmatics's about page, and for more stories, please visit hackernoon.com.

A hackathon dictation app runs Speechmatics speech-to-text with zero cloud calls and zero API keys. Real-time diarization still needs a GPU, but not for the reason you'd assume.

Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us