7 results for “transcription”
Microsoft AI released MAI-Transcribe-2 on September 3 at $0.10 per audio hour, a 72% price cut from five months ago. The model supports 60 languages and adds diarization, word-level timestamps, and code-switching for mixed-language audio.
Meta unveiled Muse Voice Transcribe, a unified real-time model for streaming speech recognition, speaker diarization, and endpoint detection. The release gives developers a single API for multi-speaker, multilingual transcription at $0.18 per hour.
Google launched Gemini 3.5 Transcribe with 4.0% streaming WER and native function calling for voice agents. The model cuts transcription latency by 70% versus Chirp 3 and supports 85+ languages.
Google has released a significant update to its native Gemini macOS application, introducing a system-wide voice dictation interface triggered by. The update shifts the competitive dynamic for AI on the Mac desktop.
NVIDIA has released NemotronLabs VoiceChat 11B, an 11-billion-parameter end-to-end speech-to-speech model that performs streaming speech understanding. VoiceChat 11B gives researchers and infrastructure teams a reference implementation.
ByteDance has officially launched SeedRealtime, a native audio-visual full-duplex large language model that unifies audio, video, and text within. The launch represents a significant shift in how multimodal AI systems handle real-world.
Hugging Face research shows top ASR models reproduce benchmark transcripts even when audio contradicts them. The study found models with the lowest reported error rates were most likely to regurgitate incorrect reference texts, overstating real-world performance.