arXiv Machine Learning July 28, 2026 By Johannes Reschke, Armin Sehr

Face Recognition with Machine Learning in OpenCV_ Fusion of the results with the Localization Data of an Acoustic Camera for Speaker Identification

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arXiv:1707. 00835v1 Announce Type: cross Abstract: This contribution gives an overview of face recogni-tion algorithms, their implementation and practical uses.

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arXiv Computer Vision

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Beyond Visible Speakers: Context-Aware Active Speaker Detection with Speaker Registration

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benchmarks

arXiv Computer Vision

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multimodal benchmarks

Hugging Face Trending Papers

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VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency

Speaker recognition has advanced rapidly with large-scale training datasets, yet Vietnamese remains under-resourced, with existing corpora limited in scale and acoustic diversity. Most large-scale datasets rely on facial cues to link speech with speaker identities, restricting data collection to recordings where speakers appear on camera.

llms

arXiv AI

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AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification

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rag multimodal

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Revisiting Active Speaker Detection: An In-the-Wild Benchmark for Generalization and Robustness

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By Le Thien Phuc Nguyen, Zhuoran Yu, Khoa Quang Nhat Cao, Yuwei Guo, Tu Ho Manh Pham, Tuan Tai Nguyen, Toan Ngo Duc Vo, Lucas Poon, Tuan Khai Nguyen, Soochahn Lee, Yong Jae Lee

benchmarks

Towards Data Science

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Build a Speaker-Recognition App with Claude Code

The article explains how to develop a speaker‑recognition application using Claude code or Codex, focusing on practical coding techniques for building an internal tool. It provides step‑by‑step guidance on implementing the necessary components and integrating them into a functional app. The post serves as a tutorial for developers looking to create voice‑based authentication or identification systems.

By Eivind Kjosbakken