新加坡Channel NewsAsia（CNA）正利用AI技术革新新闻编辑室，提升报道效率与质量。作为覆盖全球1.5亿家庭和设备的媒体，CNA自2019年尝试AI应用，总编辑Walter Fernandez认为AI潜力巨大，将重塑新闻业。初期编辑们视AI为辅助工具，强调其支持作用。
Cnam-LMSSC
基于Wav2Vec2架构的法语音素化模型，专门针对头戴式麦克风音频数据训练，可将法语语音转换为国际音标(IPA)音素序列。
这是一个针对法语语音转音素任务微调的模型，基于facebook/wav2vec2-base-fr-voxpopuli-v2模型，使用Common Voice v13数据集进行训练。
CNAP是一个基于Spring Boot和Vue.js 3的应用程序开发平台，提供用户管理、角色权限控制和可定制菜单等核心功能模块，构建灵活可扩展的系统基础架构。
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
