{"schema_version":"onlylabs.public_signal.v1","title":"Together AI Writing: How speech models fail where it matters the most and what to do about it","description":"Together AI writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/103c742d-677f-4c75-b597-c848d571a716","json_url":"https://onlylabs.fyi/signals/103c742d-677f-4c75-b597-c848d571a716/signal.json","generated_at":"2026-06-07T21:15:02.711346+00:00","org":{"slug":"together-ai","name":"Together AI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/together-ai","dossier_json_url":"https://onlylabs.fyi/labs/together-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/103c742d-677f-4c75-b597-c848d571a716","signal_json":"https://onlylabs.fyi/signals/103c742d-677f-4c75-b597-c848d571a716/signal.json","source":"https://www.together.ai/blog/how-speech-models-fail","lab_dossier":"https://onlylabs.fyi/labs/together-ai","lab_dossier_json":"https://onlylabs.fyi/labs/together-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/together-ai","analysis_json":"https://onlylabs.fyi/analysis/together-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/together-ai/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Together AI published How speech models fail where it matters the most and what to do about it. 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Links in this article arXiv paper Dataset ‍ Summary We demonstrate that voice recognition systems struggle to understand street name pronunciations when speakers have diverse linguistic backgrounds — with an average transcription error rate of 39% across 15 state-of-the-art models, and an 18% accuracy gap between non-English and English primary speakers. 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Links in this article arXiv paper Dataset ‍ Summary We demonstrate that voice recognition systems struggle to understand street name pronunciations when speakers have diverse linguistic backgrounds — with an average transcription error rate of 39% across 15 state-of-the-art models, and an 18% accuracy gap between non-English and English primary speakers. 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