77 summarised stories about Speech Recognition, each linking back to the original source. Browse all topics →
Ars Technica 1 month ago 9 ● 6 sources
Google released Gemini 3.5 Transcribe, an AI speech-to-text model that cleans up filler words and spoken corrections for more polished text. Google says it is about 70 percent faster and brings the live-speech error rate down to 5.5 percent. It replaces the earlier Chirp 3 voice-to-text engine across more of the Google ecosystem.
The Verge 1 month ago 13 ● 6 sources
Google updated Gemini Audio with Gemini 3.5 models that improve transcription by detecting specialized jargon and removing filler like “ums” and “ahs.” The update supports more than 85 languages. As a result, Google’s voice features should produce more precise transcripts in noisy conditions and when speech is interrupted, via Gemini 3.5 Live, Gemini 3.5 Live Experimental, and the new Gemini 3.5 Transcribe.
Product Hunt 1 month ago 35 ● 6 sources
Gemini 3.5 Transcribe was released as a new speech-to-text model. No benchmark number or date was provided in the article. The update is positioned as delivering more precise transcription for spoken audio.
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17 October 2026
Microsoft used today’s update to put hard numbers behind the next wave of “base model” ambition. Its MAI-Base-2 is a 2T-parameter foundation model that activates 80B parameters per prompt, trained for 38 days on 16,000 Nvidia GB200 GPUs across 50T tokens. The company says the result is up to 12× more hardware-efficient, and it intends to license the model to “trusted partners” on Azure as a starting point for a new line of LLMs that can be shaped with additional training.
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