The Hallway Track

speech-to-text

9 tracked signals on speech-to-text.

Gemini Live audio

Simon Willison · Sep 15, 2026

Google releases Gemini 3.8 Live, a new speech-to-speech model.

Intelligent transcription with Gemini 3.5 Transcribe

Google DeepMind · Google DeepMind Blog · Aug 26, 2026

Google DeepMind launches Gemini 3.5 Transcribe for intelligent speech-to-text transcription

“Now you can get more intelligent speech-to-text transcription with Gemini 3.5 Transcribe.”
Build voice-first apps with Gemini 3.5 Transcribe

Google Developers (Google I/O) · Aug 27, 2026

Google launches Gemini 3.5 Transcribe, an LLM-based transcription model with 70+ language support

“This model is an LLM based transcription model. So it can do really, really well in transcribing alphanumerics or email addresses, anything that normal transcription models might struggle with.”
How to build with Gemini 3.5 Transcribe

Google Developers (Google I/O) · Aug 26, 2026

Google launches Gemini 3.5 Transcribe, its first LLM-based transcription model with live streaming support.

“this model is both available for unary on the interactions API but also for life transcription on the life API”
Announcing Azure AI Speech LLM 09-2026: Broader locale support

Microsoft AI Foundry Blog · Oct 26, 2026

Azure AI Speech LLM 09-2026 adds 25 languages and runs 2x faster than previous release

“LLM Speech 09-2026 delivers up to 2x faster processing than 2607, returning transcripts sooner for high-volume and time-sensitive workloads”
How Deepgram optimized voice AI at scale with AWS Trainium

AWS Machine Learning Blog · Oct 19, 2026

Deepgram's Nova-3 on AWS Trainium2 delivers 11–70% more audio per dollar for batch workloads

“On Deepgram's offline, throughput-oriented batch workloads, that setup processed 11–70 percent more audio per dollar than the compute options Deepgram had been running.”
Speaker-labeled transcription with WhisperX on SageMaker AI

AWS Machine Learning Blog · Sep 24, 2026

AWS released a WhisperX Deep Learning Container for deploying speaker-labeled, word-level transcription on SageMaker AI.

“WhisperX closes both gaps. It wraps OpenAI's Whisper with batched inference, adds wav2vec2 forced alignment for precise per-word timestamps, and adds speaker diarization to label who spoke.”