Rev’s Streaming ASR is Now Over 30% More Accurate…and Faster Too!
Rev.ai Speech to Text Blog
by Vikram Vaswani
1y ago
At Rev, we’ve been working hard to bring the accuracy benefits of our v2 asynchronous ASR model (announced in Q1 2022) to our v2 streaming ASR model. Now, we’re happy to announce the general availability of our v2 model for streaming ASR, enabling significant improvements in  accuracy and latency. Trained on millions of hours of transcribed speech and extensively tested in beta by our enterprise customers, the introduction of our v2 ASR model to our streaming API now provides customers with 30% better accuracy and improved partials latency than our previous model for live captions and oth ..read more
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What Makes Rev’s v2 Best in Class?
Rev.ai Speech to Text Blog
by Miguel Jette
1y ago
A deep dive into v2: End-to-End speech recognition at Rev The R&D team has spent the last two years researching the best approach to leverage the large quantity of data processed by Rev. As it turns out, the latest deep learning techniques are a perfect fit for this. In this technical overview, we will go over the past approach (called v1 Model in the rest of this blog) and compare it with the new approach we are calling v2. We’ve also had the pleasure to present our architecture in a recent MIT Lecture on Deep Learning and Automatic Speech Recognition. As a world leader in the content tra ..read more
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Understand Rev AI Webhooks with Examples
Rev.ai Speech to Text Blog
by Vikram Vaswani
1y ago
Webhooks are a key component of building event-driven Web applications, and they’re also supported in the various Rev AI APIs. They provide a simple, efficient and asynchronous approach to manage requests submitted through our APIs. Here’s how it works: An application submits a job to a Rev AI API for processing, supplying a webhook URL in the callback_url parameter. Once job processing is complete, the API sends an HTTP POST message to the webhook URL containing the results of processing. The webhook URL handler receives the HTTP POST request, parses the request body and implements further a ..read more
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Extract Topics from Transcribed Speech with Node.js
Rev.ai Speech to Text Blog
by Vikram Vaswani
1y ago
Rev AI’s Topic Extraction API identifies the main topics in a speech transcript. For application developers, it provides a fast and accurate way to retrieve and rank the topics in a transcribed conversation and then act on this information. Some examples of how topic extraction can be used are: Auto-generated agendas for meetings and phone calls Automated classification or keyword indexing for digital media libraries Automated tagging for Customer Service (CS) complaints or support tickets If you’re a Node.js developer, check out our tutorial on integrating Rev AI’s Topic Extraction API with ..read more
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Rev AI Expands Its Presence in the European Union
Rev.ai Speech to Text Blog
by Ajita Mishra
1y ago
Rev AI is thrilled to announce the launch of our very first European data processing center in Frankfurt, Germany. With this expansion, Rev AI customers can store and process their data in either the United States or European Union, all while maintaining compliance with regulations in both regions. GDPR Compliance in EU  As businesses’ speech-to-text needs become increasingly global, our EU expansion will allow companies to operate confidently in compliance with GDPR policies. (Click here to read Rev’s new GDPR-compliant Data Processing Addendum.)  Rev AI remains committed to data se ..read more
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Get Started with Rev AI using PHP
Rev.ai Speech to Text Blog
by Vikram Vaswani
1y ago
To help developers integrate our APIs into their applications, we offer SDKs for Node, Java and Python. However, because most of our APIs are REST APIs, it’s also easy to use them with other languages, such as PHP. PHP is very popular for developing Web applications and services quickly. And one of the easiest ways to integrate our REST APIs with a PHP application is via Guzzle, a popular HTTP client with PSR-7 compatibility. If you’re a PHP developer, check out our new tutorial on integrating Rev AI into your PHP application. This tutorial covers sending audio to, and receiving transcripts fr ..read more
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Transcribe Audio with Automatic Language Identification using Node.js and Rev AI Webhooks
Rev.ai Speech to Text Blog
by Vikram Vaswani
2y ago
Rev AI’s Language Identification API is unique in being able to automatically identify the most probable language in an audio file without requiring a list of possible language codes upfront. For application developers, this feature significantly reduces the work involved in building ASR applications, as it eliminates the need to find language markers or to supply a shortlist of language possibilities to the machine transcriber. To illustrate this, we’ve put together a tutorial (with sample code) that integrates our Language Identification and Asynchronous Speech-to-Text APIs via a Node.js web ..read more
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Handle Connection Errors and Timeouts in Streaming Transcription
Rev.ai Speech to Text Blog
by Vikram Vaswani
2y ago
Rev AI’s Streaming Speech-to-Text API enables real-time transcription for streaming audio. It can be used with both WebSocket and RTMP streams, and has a time limit of 3 hours per stream. While this is more than sufficient for most scenarios, there are cases where live streams can run longer than 3 hours – for example, live transcription of commentary for a day-long sporting event. When this happens, the recommended practice is to initialize a new concurrent connection to the API and switch to it. This sounds simple but in practice, application developers often struggle with implementing it. T ..read more
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Add Sentiment Insights to your Node.js Application
Rev.ai Speech to Text Blog
by Vikram Vaswani
2y ago
Rev AI’s sentiment analysis API provides additional speech insights by analyzing sentiments in a written conversation. As an application developer, you can use this API to understand the emotions at play in a transcribed conversation and then build applications to act on those insights. Some common applications for sentiment analysis include: Tracking Customer Service satisfaction levels from customer agent interactions or written complaints Scoring leads based on sales team member interactions with prospects Understanding witness attitudes in depositions If you’re a Node.js developer, check ..read more
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Add Automatic Language Identification to your ASR Applications
Rev.ai Speech to Text Blog
by Vikram Vaswani
2y ago
Rev AI’s Asynchronous Speech-to-Text API makes it easy to transcribe audio even if it’s not in English – simply specify the language code when requesting transcription. But what if you don’t recognize the language in the first place? Today, we’re happy to announce Rev AI’s new Language Identification API, which automatically identifies the most probable language used in an audio file. This API offers developers a fast, automated, and accurate solution to the problem of language recognition in spoken audio. It accepts and analyzes an input audio file and returns a list of possible languages, ra ..read more
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