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Mozilla 實做百度發表的 Speech-To-Text 引擎 Deep Speech

Hacker News 上看到 MozillaGitHub 上的 mozilla/DeepSpeech 這個專案,用 TensorFlow 實做了百度的「Deep Speech: Scaling up end-to-end speech recognition」論文:

A TensorFlow implementation of Baidu's DeepSpeech architecture

語音轉文字的方案,Mozilla 開專案實做出來了...

這程式碼需要安裝 Git Large File Storage 才能完整下載包含訓練資料的部份:

Manually install Git Large File Storage, then clone the repository normally:
git clone https://github.com/mozilla/DeepSpeech

而目前已經有的資料來自於 Mozilla 另外一個專案「Common Voice」:

The Common Voice project is Mozilla's initiative to help teach machines how real people speak.

Common Voice 這個專案目前只有英文,網頁上就可以參與 validation 過程...

把才能用在奇怪的地方:老闆偵測器

作者用 OpenCV 學習老闆的臉,然後當老闆走過來的時候把畫面切到努力工作中的 screenshot XDDD:「Deep Learning Enables You to Hide Screen when Your Boss is Approaching」。

“My boss left his seat and he was approaching to my seat.”

“OpenCV has detected the face and input the image into the learned model.”

“The screen has switched by recognizing him! ヽ(‘ ∇‘ )ノ ワーイ”

作者是個日本人 (要說不意外嗎 XDDD),這套軟體的程式碼在「Hironsan/BossSensor」這邊 XDDD

超級浪費才能 XDDD

AlphaGo 不是使用 GPU 加速...

Google 今天公佈的資料中說明了 AlphaGo 不是用一般常見的 GPU 加速運算:「Google supercharges machine learning tasks with TPU custom chip」。

這是特別為 TensorFlow 製作的 ASIC:

The result is called a Tensor Processing Unit (TPU), a custom ASIC we built specifically for machine learning — and tailored for TensorFlow.

而 AlphaGo 用的版本是 TPU 版:

AlphaGo was powered by TPUs in the matches against Go world champion, Lee Sedol, enabling it to "think" much faster and look farther ahead between moves.

放 AlphaGo 的機櫃長這樣:

通常 ASIC 特製的版本會比 FPGA 或是 GPU 快上許多,這代表目前這些沒有大公司撐腰的圍棋軟體要跟 AlphaGo 拼,除非演算法上有重大的突破,不然就得用更大量的設備跟他換...

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