ASR converts speech into text the software can use. Quality is measured by word error rate, and the hard cases are noise, accents, overlap, and jargon. It is the first step in nearly every audio AI feature in a video product.

Book cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

The book · Volume 6 of 7

AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video

ASR is the first step in captions, search, dubbing and meeting notes, so its error rate on noise, accents and jargon caps everything built on top. Volume 6 covers speech in detail, ASR, diarization and TTS, along with search and RAG over video archives, so you can pick an ASR engine and measure it on your own audio. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Choosing an ASR engine and unsure which one handles your accents and jargon?

We will benchmark ASR engines on your recordings and send a recommendation with word error rates, latency and cost per hour. 250+ video products shipped since 2005.

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