Nine Must-Read Research Papers from Rev’s AI Experts
Last year, the Speech Team here at Rev began a new tradition: every two weeks, we agreed to read an academic paper and then discuss our thoughts and takeaways over lunch. Our discussions served a few different purposes — to stay up-to-date on the latest…
The “Let’s Just Say 2021 Has Already Started Now” Rev.ai 2020 Roundup
As we look to toss 2020 into the nearest active volcano, we’re taking some time to reflect. We’re ready to call it a new year, sip some champagne, and just… move on into 2021. It’s safe to say that 2020 was an unusually difficult year…
Rev at Interspeech 2020: Speaker Diarization Q&A
Interspeech 2020 recently invited Rev’s Director of Speech R&D, Miguel Jette, for an upcoming tutorial discussing how Speaker Diarization is used in the industry. The tutorial session is titled “Neural Models for Speaker Diarization in the context of Speech Recognition”. In this quick Q&A session…
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. One…
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…
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…