Announcing Our $28M Series A Led by Accel
We’re excited to share that we’ve raised a $28M Series A led by Accel, with participation from a great group of investors including Y Combinator, John and Patrick Collison, Nat Friedman, and Daniel Gross.
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Deep Learning
Deep Learning
Announcements
Announcements
Dylan Fox
Introducing Auto Chapters - Summarize Audio and Video Files
Today, we're excited to officially announce our newest feature at AssemblyAI - Auto Chapters. The Auto Chapters feature provides a "summary over time" for audio content transcribed with AssemblyAI's API.
Releasing our v8 Transcription Model - 18.72% Better Accuracy
Today, we’re happy to release our most accurate Speech Recognition model to date - version 8 (v8). This updated model delivers up to 18.72% better accuracy across many types of audio.
How to Train Large Deep Learning Models as a Startup
Training large deep learning models is expensive and slow. Yet, startups are all about iterating fast. In this post, we share the lessons we've learned over the past few years.
Is Word Error Rate Useful?
What is Word Error Rate? Word Error Rate is a measure of how accurate an Automatic Speech Recognition (ASR) system performs. Quite literally, it calculates how many “errors” are in the transcription text produced by an ASR system, compared to a human transcription.
A New API Endpoint to Paginate Through Historical Transcripts
We are excited to make available our new List Endpoint! This gives developers the ability to query for, and paginate through, all of their historical transcriptions.
Content Safety Detection is now GA!
Automatically transcribe audio and video files, and surface sensitive content, such "Hate Speech" or "NSFW" content, found within the audio.