8000 GitHub - pkubowicz/vocab-tts: Learning vocabulary with text-to-speech and Anki
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Training listening

Using SSML-compatible reader:

./ssml.sh to1000 | xclip

Using MacOS say:

./mac.sh to1000 Luca

Using Mary TTS:

./mary.sh to1000 it

(outputs out.wav, you can use it to replay)

Using own TTS:

node to1000.js | sed 's/<[^>]*>/ /g' | tee /dev/stderr | xclip

Exercises

  • tel – telephone number
  • tel-fast – telephone number, spoken fast
  • tel-zh– telephone number, in Mandarin
  • to1000 – numbers between 11 and 999
  • year - years between 1880 and 2060, skewed towards recent years
  • year-uni - years between 1880 and 2060, uniform distribution
  • zh – numbers between 11 and 91

SSML

Readers:

Spec:

Using Anki deck

Anki: File > Export, Notes as plain text, just 1 deck,, no HTML no tags, add note type.

Training listening:

cat ~/tmp/chinese.txt | ./chinese-input.sh | ./ssml.sh from-input | xclip

Training sentence building from random words:

cat ~/tmp/chinese.txt | ./build-sentence.sh

and from latest words:

cat ~/tmp/chinese.txt | ./newest-sentence.sh

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Learning vocabulary with text-to-speech and Anki

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