Podcast Transcription Benchmark (Part 1)
All of our customers want to know: which ASR service is the most accurate? Typically, customers test ASR services from large tech companies (e.g., Google) and speech recognition-focused companies (e.g., Speechmatics). We decided to test the Word Error Rate (WER) of Google’s video model, Speechmatics, and Rev.ai. Below is…
Speech-To-Text Simplifies Podcast Editing
Podcasts have become more popular with the rise of mobile devices and improved recording software. Editing a podcast, however, can be a time-consuming endeavor. Richard Kalling, co-host of the ALH podcast, needed to cut down on the amount of time he spent editing the podcast….
How To Choose an ASR Service
At its core, automatic speech recognition (ASR) – also called speech-to-text or automated transcription – is simply the recognition and translation of spoken language into text. There’s a lot of methodology and technology that goes into it, but the end result is a textual record…
Introducing Rev.ai: Build Speech-To-Text Into Your Applications
Rev.ai is an API that allows software developers to directly access our speech recognition model. Since launching Temi, we’ve been tirelessly refining our Speech-To-Text models. Today we’re happy to say that we possess the world’s most accurate speech recognition service. Check it out for yourself….