mac say commands

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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') }) }
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