Research
Speech Models Fail on Street Names
Together AI Bloghigh confidence
Why it matters
- →This research highlights critical limitations in speech recognition technology, emphasizing the need for improvements in real-world applications.
Research from Together AI reveals that leading speech models like Whisper and Deepgram perform well on benchmarks but fail 39% of the time when recognizing street names. The study also proposes potential solutions to address this issue.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1StreetReaderAI Enhances Street View Accessibility
Google Research Blog · October 29, 2025 · Background
- 2New Benchmark for Auditory Intelligence Introduced
Google Research Blog · December 3, 2025 · Background
- 3Rime TTS Models Launch on Together AI
Together AI Blog · December 18, 2025 · Related
What happened next
- 4Deepgram STT and TTS Models on Together AI
Together AI Blog · April 2, 2026 · Related
- 5IBM Releases Granite Speech 4.1 Models
Sam Witteveen · May 7, 2026 · Background
- 6OpenAI Enhances Voice Agents with Real-Time Models
The Rundown AI · May 8, 2026 · Background
- 7Google AI Struggles with Basic Spelling
TechCrunch AI · May 28, 2026 · Background
- 8Benchmarking ASR on Code-Switched Speech
Hugging Face Blog · June 9, 2026 · Related
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