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AI & Enterprise

Microsoft unveils real-time transcription and speech synthesis models to support voice AI agent development

Microsoft has unveiled three voice AI models, including one real-time transcription model and two speech synthesis models. The streaming transcription model converts speech to text in real time and updates transcripts as users speak. It delivers an initial result in an average of 320 milliseconds, supports more than 60 languages and costs $0.54 per audio hour. The company also highlighted a cheaper non-streaming transcription model released last month.

AI & Enterprise

Google adds AI voice features to Gmail, Docs and Keep

Google has introduced conversational AI voice features in Gmail, Google Docs and Google Keep, TechCrunch reported on Sept. 3. The tools, offered as Gmail Live, Docs Live and Keep Live, let users ask natural-language questions about their inbox, dictate content to help create drafts, and record notes without typing. The features are available in English on iOS and Android for certain Google AI subscribers, with plans to expand to Workspace business customers.

AI & Enterprise

Meta unveils real-time speech recognition model Muse Voice Transcribe

Meta unveiled Muse Voice Transcribe on Sept. 1, a real-time AI model that transcribes speech and distinguishes speakers. The company said it can handle conversations involving more than 20 people and recognise multilingual and mixed-language dialogue, including Korean. Developed by Meta Superintelligence Labs, it processes audio in 80-millisecond units and uses adaptive latency to balance accuracy and speed. Meta said it ranked first in an Artificial Analysis streaming test with a 3.1 percent word error rate.