New Benchmark Tests AI Speech Models Across 143 Languages
New multilingual benchmark ML-SUPERB evaluates speech models on 143 languages, from high-resource to endangered, with surprising performance results.
This is a Plain English Papers summary of a research paper called New Benchmark Tests AI Speech Models Across 143 Languages, Reveals Surprising Multilingual Performance Results. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview New multilingual benchmark called ML-SUPERB for evaluating speech models Covers 143 languages from high-resource to endangered Tests performance on speech recognition and language identification Uses frozen pre-trained models with simple downstream tasks Compares performance against traditional FBANK features...