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.
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.
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.
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.
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.
Automatically transcribe audio and video files, and surface sensitive content, such "Hate Speech" or "NSFW" content, found within the audio.