speech recognition

Microsoft Research has released VibeVoice-ASR-Streaming-7B, an open-weight streaming automatic speech recognition model that transcribes both who is speaking and what they say in real time. The model, listed at 9B parameters despite its name, supports 10 languages and custom hotwords under an MIT license.

IBM has released Granite 4.2, a family of open-weight language models in 3B, 8B, and 30B parameter sizes, trained on roughly 15 trillion tokens with context windows up to 512,000 tokens. The 8B and 30B variants underwent additional 'agentic RL' training for tool use, code execution, and web search.

IBM has released two new 470M-parameter Granite Speech models that transcribe audio at over 12,600x real-time speed on an NVIDIA H200 GPU. The encoder-only models achieve 4.85-5.00% word error rate while running over 20x faster than prior Granite Speech versions.

OpenAI released GPT Transcribe and GPT Live Transcribe, improving word error rate to 3.31 percent and cutting prices 25 percent to $0.0045 per minute. Independent benchmarks still place OpenAI behind ElevenLabs, Google, and Mistral on transcription accuracy.