say Hello, World
say -v Alex -o hi -f hello_world.txt
say --interactive=/green spending each day the color of the leaves
say -o hi.aac 'Hello, [[slnc 200]] World'
say -o hi.m4a --data-format=alac Hello, World.
say -o hi.caf --data-format=LEF32@8000 Hello, World
say -v '?'
say --file-format=?
say --file-format=caff --data-format=?
say -o hi.m4a --bit-rate=?
afconvert track.aiff -o track.m4a -q 127 -b 128000 -f m4af -d aac
say --voice="?"
//https://gist.github.com/mculp/4b95752e25c456d425c6
list voice
say -v Ralph "dot com"
say -v Ralph "dot [[emph -]]com"
say -v Ralph "dot [[pbas 30]]com"
[[ slnc 5000 ]]
[[rate 150]][[volm 0.9]]
I am going to present studies about how we can [[rate 130]] build a ‘curious’ robot learner for ‘interactive goal-babbling’ [[rate 150]] by designing a system [[rate 130]]for [[volm 1.1]]strategically[[volm 0.9]] choosing, ‘what’, ‘how’, ‘when’, and from ‘whom’ to learn[[rate 150]]. In other words, the system [[volm 1]]chooses[[volm 0.9]] [[rate 140]]the ‘content’, ‘procedure’, ‘timing’ and ‘source’ of its learning process.[[rate 150]]
[[ slnc 1300 ]]
function copyText(txt) {
navigator.clipboard.writeText(txt).then(()=>{
console.log('copy succeed')
}).catch(err=>{
const input = document.createElement('input')
document.body.appendChild(input)
input.setAttribute('value',txt)
input.select()
if(document.execCommand('copy')){
document.execCommand('copy')
}
document.body.removeChild(input)
console.log('succeed')
})
}