AI can write such programs quickly.
AI can write such programs quickly.
Metaphor: If there is a problem with the lunar lander, or the Mars robots we can't easily go fix them, we can't send someone to "turn it off and back on again", so we find a work around instead. In your case we may not be able to change the physical connections easily, or heal the damage there, but we may still have some options. ...
Most of us here at hackernews are programmers or technologists, not medical experts. So if there is a medical reason / short, malfunction, or other problem with the underlying connection to your brain (or to your brain itself in that small connection area around the implant), that is outside of our expertise.
## Suggestion: This suggestion to "translate"/transform the speaking ranges DOWN into the ranges that you can actually hear is a great one. So you'd be looking/asking claude for software that would take any/all microphone input at normal speaking frequencies, and in real time, shift/adjust the frequency Downwards until the average speaking midpoint was below 70Hz . then if your brain can hear differences in the lower frequencies, it would just be a matter of training/learning them in those lower frequencies. It may still take some time to hear specific speech, but you need to get it into a range that you can actually detect some changes.
An audio recording or mixing technician may be able to help with suggestions about which frequencies usually contain male, female, child voices and things like "s" sounds or sharper hisses at the end of a sound which tend to be a higher frequency than the main words. But the main goal would be to make ANY speech detectable to your ears.
There may be multiple ways you could try stretching out or reshaping the word sounds
For faster testing, start with a single recorded word at normal ranges. As a starting place, Have a friend record a single word and verify that they can hear it on your computer when it plays (this is important!). Then you would try variations for your software to shift the word into lower and lower frequencies until it becomes legible/hearable to your brain. Once you are able to hear something then record the range that its shifting down into as the "sweet spot". Try a few alternatives above and below that spot to try to find your " best" hearing frequencies. Once you've done that, you'll just need to play that word over and over again until you are able to hear the edges of it, the articulation of the syllables which should sound like hills and valleys. In most languages including English and Korean, The beginnings and the ending sounds (and how abruptly they stop or start), like edges to a sword (wielded by an expert swordsman), or like the movements of a dance (sometimes a slow smooth movement, sometimes an abrupt stop, then movement again). Thise are the same kinds of things we do with our voices to make sounds. A shape of the syllable like a body dancing shape, the lights come up on the stage, then movement(air&vibration) starts in a certain way, then movement (fast or slow) into another mouth shape. Usually the beginning and middle are particularly important, many dialects and creoles tend to drop or slur the ends of words, since if you have already heard the beginning and middle of the word so many times, then you already know the end part. Similarly, if you watch your favorite dance or ballet over and over again, you remember and can know the shape of the body in the next beat before the dancer gets there.
Best of luck on this, please report back if you make any progress, we are all cheering for you, and we hope you're able to make progress!
Reminder: to retrain your brain on different inputs takes time. Make sure you can hear something in the changes, but then when you're in the "sweet spot" range, give it time. Listen hard! Be a learner and always be expecting for that dancers shape to come through. Spend time doing it every day, maybe with a blindfold so that you can focus ONLY on the sounds, otherwise your smart brain will try to work around it, picking cues from visuals.