AI Daily
Recent announcements highlight notable advancements in AI-driven productivity and real-time speech technology. NVIDIA introduced Streaming Sortformer, a diarization model enabling real-time identification of speakers in various applications with low latency, significantly improving transcription accuracy and usability. Meanwhile, Google employees have adopted generative AI tools like Gemini and Imagen to streamline workflows, enhance creativity, and accelerate product development. Collectively, these trends reflect a broader movement toward integrating advanced AI models for improved efficiency, real-time processing, and innovation across diverse professional settings.
Identify Speakers in Meetings, Calls, and Voice Apps in Real-Time with NVIDIA Streaming Sortformer
Source: Nvidia
The blog post discusses NVIDIA’s Streaming Sortformer, an open, production-grade diarization model that aims to identify speakers in real-time transcription scenarios. This model is designed to address the challenge of determining who is speaking and when in various settings like meetings, calls, and voice-enabled applications. NVIDIA’s technology allows for low latency processing, changing what was previously difficult to achieve in real-time transcription. For more information, you can refer to the source.
14 ways Googlers use AI to work smarter
Source: Google AI
The blog post showcases how Google employees are leveraging tools such as Gemini and Imagen to enhance productivity, boost creativity, and develop innovative products. These tools aid in time-saving, idea generation, and product improvement.