Universal-2-TF introduces a two-stage neural text formatting model for ASR that combines token classification and sequence-to-sequence approaches to efficiently handle punctuation, capitalization, and text normalization while achieving superior accuracy across diverse domains.| www.assemblyai.com
What is Word Error Rate and is it a useful measurement of accuracy for speech recognition systems? In this article, we examine the answer to these questions, as well as explore other alternatives to Word Error Rate.| News, Tutorials, AI Research
In this article, hear from AssemblyAI’s CEO, research and solutions team about the role of objective benchmarks in fairly evaluating AI models and learn how to evaluate AI systems on your own.| News, Tutorials, AI Research