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Would be super interesting if we could create a GAN-based version of this for audio calls that could change your voice into a white male or whatever is necessar
by dheera 5y ago
Would be super interesting if we could create a GAN-based version of this for audio calls that could change your voice into a white male or whatever is necessary for the person on the other end to not impart negative biases on their hiring/investment/business decisions based on your voice.
If they accept you for a job and then discover only later that you're actually female or non-white it'd be a big red flag if they rejected you only after seeing your face.
- wrycoder 5y agoI think you have it backwards.
- victor9000 5y agoIf someone shows up sounding completely different than they did in the interview then I think most people would assume that the candidate had someone else take the interview for them, resulting in a massive red flag.
- CameronNemo 5y agoSure, but if the interview was about actual qualifications and skills, then it should not matter. Even better, companies that were truly dedicated to diversity in hiring could remove names from any materials shown to interviewers and tell interviewees to use the same voice changer.
- cmeacham98 5y agoIf I have someone else (presumably more qualified and skillful than me) take the interview for me that would be a problem, no?
- nonrandomstring 5y agoPeople have a rather poor memory and recognition of voices they're not familiar with. By the time it's been through cellphone codecs (linear predictive coding that basically resynthesises your voice using a handful of parameters) it's a wonder we can tell one speaker from another. How we do it is to listen for other features of speech, accent and vowels, speed, rhythm, prosody, intonation, anomalies like glottal noise, dropped H's, nasal formant, murmuring diphongs.. the things that make us unique. Impressionists (mimics) learn those. If they're not present in the source signal it's not easy to change or add them unless you move the whole signal to an intermediate form (speech to text) and then resynthesis the whole show (TTS) via a full articulation model that has those anomalous features. If you get any good at this the people who you will piss-off are banks and folks who use voice as a blind authenticator (hint: your bank already does if you call them).
- batch12 5y agoI wouldn't trust someone who started a relationship with deception. I would have no way of knowing the person is telling the truth that they changed their voice instead of having someone else interview.
- dheera 5y agoThe "having someone else interview" problem is vanishingly small compared to racism against minority groups in hiring decisions. That's the real, widespread problem. It's also pretty easy to figure out within the first week of employment if the person knows their shit or not.
- batch12 5y agoIt's not worth going through the effort of onboarding someone for a week to determine if things might work out. Discussions are more than words. Inflection and presentation are all pieces of effective communication. If someone is advocating a voice changer, why even do voice at all? Why not meet in a discord or slack space and type it out?
- lelanthran 5y ago> Would be super interesting if we could create a GAN-based version of this for audio calls that could change your voice into a white male or whatever is necessary for the person on the other end to not impart negative biases on their hiring/investment/business decisions based on your voice. Would only work for male -> female (and vice versa) changes. There is no vocal difference between a white male and a black male (or white female and black female); the aural difference is in the accent and actual regional slang, not in the voice.