
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
Google has released Gemini 3.5 Live Translate, an audio model that translates speech across over 70 languages in near real-time while preserving the speaker's intonation, pacing, and pitch. Unlike previous translation systems that wait for a speaker to finish before responding, this model generates translated speech continuously, staying only a few seconds behind the speaker to maintain natural conversation flow. The technology is rolling out across Google products including the Gemini Live API for developers, Google Meet for enterprises, and the Google Translate app for general users. All audio generated by the model is watermarked with SynthID to make AI-generated content detectable and help prevent misinformation.

The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers.

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces aren't clearly visible, using "additional non-biometric signals (body size, clothing color, etc.)." The Familiar Faces library will also begin aut

In this tutorial, we build a speech recognition and translation workflow using NVIDIA Canary-1B-v2. We begin by setting up the required audio, NeMo, NumPy, and SciPy dependencies, then load the Canary model on a GPU-enabled runtime for efficient inference. From there, we prepare audio into a clean 16 kHz mono format, perform English ASR, translate speech into multiple languages, generate word and segment timestamps, export translated subtitles as an SRT file, test long-form transcription, run b
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