The Podcast Challenge: Testing Rev AI’s Speech Recognition Accuracy
Here on the Rev Speech R&D Team, we are constantly striving to improve Rev AI’s Automated Speech Recognition (ASR) accuracy. As such, we spend a lot of our time creating test suites for the many different scenarios where our customers use our speech recognition technology….
Announcing Real-Time Transcription and Captioning With Our Streaming API
Today, we’re launching real-time audio transcription with our Streaming API. This new API service, powered by Rev’s proprietary speech engine, allows developers to easily build real-time speech recognition directly into their own applications and services. This opens up a lot of opportunities for developers and…
Rev AI at InterSpeech 2019
INTERSPEECH is always a fascinating conference, with really smart folks, from all over the world, working on a very broad range of applications and research topics. In our daily work, we are typically very focused on the topics that are relevant to us as a…
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 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…
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….
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…