How speech models fail where it matters the most and what to do about it
Research shows that speech models have a 39% error rate on street name transcription, with an 18% accuracy gap between non-English and English primary speakers. A synthetic data technique called cross-lingual style transfer reduces errors by up to 60% with fewer than 1,000 samples.
