arXiv:1707. 00835v1 Announce Type: cross Abstract: This contribution gives an overview of face recogni-tion algorithms, their implementation and practical uses.
By Johannes Reschke, Armin Sehr
arXiv:2606. 16505v1 Announce Type: cross Abstract: Understanding speaker confidence is crucial in educational settings, as it can enhance personalised feedback and improve learning outcomes.
By Adam Wynn, Jingyun Wang, Xiangyu Tan
Google has launched two new Gemini text‑to‑speech models—gemini‑3.8‑flash‑tts and gemini‑3.8‑flash‑lite‑tts—offering a library of over 2,000 voices and the option to create a custom voice from a 30‑second audio sample. The author built a playground interface that lets users define multi‑character conversations with distinct voices and styles, and demonstrated it with a scripted dialogue between two pelicans. Generating 1 minute 18 seconds of audio with the Flash model took about 20 seconds and cost 2.74 cents.
FASTDIAR is a frame‑level speaker encoder designed for real‑time streaming diarization on a single CPU thread. It converts a state‑of‑the‑art speaker recognition architecture into a causal model that emits an embedding every 80 ms from a two‑second window, and pairs it with online clustering that updates only when the stream’s self‑similarity changes. Trained via distillation from an utterance‑level teacher, it achieves the highest accuracy on low‑overlap benchmarks, degrades less with more speakers, and runs five times faster than real time.
By Nikita Torgashov, Okan K\"op\"ukl\"u