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Streaming End-to-End Multi-Talker Speech Recognition
IEEE Signal Processing Letters ( IF 3.2 ) Pub Date : 2021-04-02 , DOI: 10.1109/lsp.2021.3070817
Liang Lu , Naoyuki Kanda , Jinyu Li , Yifan Gong

The history of computing is not a history of making computers. This is not to say it is not invested in stories of systems, accounts of components, programming languages, and application software—or in the hackers and hobbyists who made them meaningful. On the contrary, accounts of making the computer are endlessly fascinating. It is when we begin to talk about more than one that interest tends to falter. When the wonder of invention falls away, what is left is the minutia of manufacture—another unit on the line, another requisition, another stop on the great global supply chain. But it is precisely in this long logistical history—the one concerned with assembly revisions and inventory management, part prices, and labor costs—that we find the entangled origins of the messy machines people actually use. Attempts at this history tend to be surprisingly constrained, confined to small groups or almost singular entities.

中文翻译:


流式端到端多说话者语音识别



计算的历史并不是制造计算机的历史。这并不是说它没有投资于系统的故事、组件的描述、编程语言和应用软件,或者没有投资于使它们变得有意义的黑客和爱好者。相反,有关制造计算机的记载却令人着迷不已。当我们开始谈论多个话题时,兴趣就会减弱。当发明的奇迹消失时,剩下的就是制造的细节——生产线上的另一个单元、另一个订单、伟大的全球供应链上的另一个站点。但正是在这段漫长的物流历史中——涉及装配修改和库存管理、零件价格和劳动力成本的物流历史——我们发现了人们实际使用的凌乱机器的复杂起源。令人惊讶的是,对这段历史的尝试往往受到限制,仅限于小团体或几乎单一的实体。
更新日期:2021-04-02
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