Home / Companies / AssemblyAI / Blog / Post Details
Content Deep Dive

Lower latency, lower cost, more possibilities

Blog post from AssemblyAI

Post Details
Company
Date Published
Author
Ryan O'Connor
Word Count
1,008
Company Posts That Month
15
Language
English
Hacker News Points
1
Post removed?
No
Summary

AssemblyAI has introduced major improvements in their API's inference latency, making the majority of audio files complete within well under 45 seconds regardless of audio duration and with a Real-Time-Factor (RTF) as low as .008x. These advancements have been implemented without any compromise on accuracy, as evidenced by their Conformer-2 model achieving an industry-leading average Word Error Rate (WER) at approximately 6%. AssemblyAI has achieved this through intelligent mini batching, hardware parallelization and optimized serving infrastructure. This results in reduced pricing for both async ($0.37 per hour) and real-time ($0.47 per hour) speech-to-text models. The company also plans to release more updates over the next few months.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 7 2,578 595 180 +16%
Voice AI 4 303 41 13 +14%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.