Rev.ai, Google, and Amazon – Which ASR Is Easiest to Use?
We’ve previously discussed a few different metrics and considerations when chatting about Automatic Speech Recognition (ASR) services. We’ve covered word error rate and talked about features like diarization and speaker identification. But other factors should be taken into account – particularly how easy the service…
How to Calculate Word Error Rate (WER)
If you’ve spent any time at all using an automatic speech recognition service, you may have seen the phrase “word error rate,” or WER, for short. But even if you’re brand new to transcriptions, WER is the most common metric you’ll see when comparing ASR…
How Rev.ai Helped Create a Property-Searching App
University of Texas Austin computer science major Ethan Houston used the Rev.ai advanced speech recognition API as part of his team’s project at HackTX. After perusing the hackathon sponsors’ different challenges, Ethan’s team decided to work on a property-searching app, Birdhouse, that incorporated the Rev.ai…
Rev.ai Helps Roxyy Make Podcasts Searchable
At WWDC 2018, Apple confirmed over 550,000 podcast publications on iTunes. With inexpensive production costs and ease of access, podcasts have become a favorite way to inform and entertain listeners across the globe. A shortcoming? Podcasts can’t be searched easily. This inability to search makes…
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….