Robotics & Machine Learning Daily News2024,Issue(Nov.26) :34-34.

Reports Outline Computational Intelligence Study Results from Michigan State Uni versity (Unsupervised Speaker Diarization In Distributed Iot Networks Using Fede rated Learning)

报告概述了密歇根州立大学的计算智能研究结果(在分布式物联网网络中使用Fede评级学习的无监督扬声器拨号)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :34-34.

Reports Outline Computational Intelligence Study Results from Michigan State Uni versity (Unsupervised Speaker Diarization In Distributed Iot Networks Using Fede rated Learning)

报告概述了密歇根州立大学的计算智能研究结果(在分布式物联网网络中使用Fede评级学习的无监督扬声器拨号)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于马学习-计算智能的新报告。根据NewsRx记者从密歇根州东兰辛发回的新闻报道,研究本文提出了一个计算高效的分布式说话人日记框架网络化物联网风格的音频设备。本文提出了一个联邦学习模型,该模型可以识别出没有要求大型音频数据库进行培训的对话参与者。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting origina ting from East Lansing, Michigan, by NewsRx correspondents, researchstated, “Th is paper presents a computationally efficient and distributed speaker diarizatio n framework fornetworked IoT-style audio devices. The work proposes a Federated Learning model which can identify theparticipants in a conversation without th e requirement of a large audio database for training.”

Key words

East Lansing/Michigan/United States/N orth and Central America/Computational Intelligence/Machine Learning/Michigan State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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