今天小企鵝學堂上,吵吵鬧鬧,此時那些小企鵝們正憤愾的議論著禮拜天還『補課』之事的呢 !!
有的主張︰既然是天放假,幹嘛要補課。
有的辯證︰就算今天不補,改天補還不是一樣?
有的議論︰早補早了,有什麼好議論的!!
有的搞笑︰『始』安息日,『終』禮拜天!不就一天嗎??
…
那你可有說法?
哦!我唱ㄏㄡˇ你ㄗㄞ︰今天不只要補課,……
而且ㄍㄡˋ要實習,但是用的是『咸澤碼訊』
‧高級的
‧沒學過的
‧ㄍㄚˋ伊講不通的
‧ …
唔是□派○生的呦!!
啞是甲意喝一杯咖啡卡好??
─── 摘自《M♪o 之學習筆記本《子》開關︰【䷝】狀態編碼》
補課不易加課難,惟因學堂不好玩。
授業解惑苦失傳,道鎖高樓難復還。
讀書原是本家事,學問方田自耕耘。
─── 《神經網絡【學而堯曰】十》
欲上最高樓者,焉能不知『登高必自卑,行遠必自邇』之理︰
子曰:射有似乎君子,失諸正鵠,反求諸其身。君子之道,辟如行遠必自邇,辟如登高必自卑。《詩》曰:『妻子好合,如鼓瑟琴;兄弟既翕,和樂且耽。宜爾室家,樂爾妻帑。』 子曰:父母其順矣乎!
故而起步暫緩『語音辨識』 API 之用︰
Speech recognition module for Python, supporting several engines and APIs, online and offline. https://pypi.python.org/pypi/SpeechRe…
SpeechRecognition
Library for performing speech recognition, with support for several engines and APIs, online and offline.
Speech recognition engine/API support:
- CMU Sphinx (works offline)
- Google Speech Recognition
- Google Cloud Speech API
- Wit.ai
- Microsoft Bing Voice Recognition
- Houndify API
- IBM Speech to Text
- Snowboy Hotword Detection (works offline)
Quickstart: pip install SpeechRecognition
. See the “Installing” section for more details.
To quickly try it out, run python -m speech_recognition
after installing.
Project links:
Library Reference
The library reference documents every publicly accessible object in the library. This document is also included under reference/library-reference.rst
.
See Notes on using PocketSphinx for information about installing languages, compiling PocketSphinx, and building language packs from online resources. This document is also included under reference/pocketsphinx.rst
.
……
Requirements
To use all of the functionality of the library, you should have:
- Python 2.6, 2.7, or 3.3+ (required)
- PyAudio 0.2.11+ (required only if you need to use microphone input,
Microphone
) - PocketSphinx (required only if you need to use the Sphinx recognizer,
recognizer_instance.recognize_sphinx
) - Google API Client Library for Python (required only if you need to use the Google Cloud Speech API,
recognizer_instance.recognize_google_cloud
) - FLAC encoder (required only if the system is not x86-based Windows/Linux/OS X)
The following requirements are optional, but can improve or extend functionality in some situations:
- On Python 2, and only on Python 2, some functions (like
recognizer_instance.recognize_bing
) will run slower if you do not have Monotonic for Python 2 installed. - If using CMU Sphinx, you may want to install additional language packs to support languages like International French or Mandarin Chinese.
The following sections go over the details of each requirement.
───
串講先補 MIR 『錄音』界面之法︰