<translate> Kama aina ya data nyeti ya kibinafsi, hii inamaanisha ulinzi thabiti zaidi wa seti za data za sauti. Kila sauti ina kiolezo bainifu na mtu binafsi na kinaweza kutambulika kama alama ya kidole. Tofauti na aina zingine za data ya kibinafsi, utambulisho wa sauti ni wa kipekee sana na hauibadiliki kwa hivyo kuna hitaji la ulinzi wa hali ya juu. Ukweli huu huwa muhimu zaidi hasa pale ambapo programu zilizoundwa kwenye hifadhidata kama hizo zitakusanya data zaidi ya sauti kutoka kwa watumiaji na kulenga kuhudumia jamii zilizotengwa kama vile maeneo ya vijijini. Matukio haya yatalazimisha wasanidi programu kuzingatia dhana za msingi na mifumo ya faragha iliyotolewa chini ya sheria za ulinzi wa data kama vile faragha kwa muundo ili kufahamisha maamuzi yao ya muundo wakati wa kuunda programu zinazowezeshwa na sauti. Kujitayarisha kwa zana kama hizi za kuimarisha faragha kutapunguza mzigo usio na uwiano unaowekwa na hatua kama vile kutoa idhini kwa jumuiya zilizotengwa ambazo tayari zinakabiliwa na matukio mengi ya kutengwa. <eng>
As a form of sensitive personal data, this implies stronger safeguards voice datasets. Each voice has a distinctive pattern as individual and identifiable as a fingerprint. Unlike other forms of personal data, voiceprints are highly unique and unchangeable hence the need for high levels of protection. This reality becomes more pertinent especially where applications built on such datasets will collect more voice data from users and aim at serving marginalized communities such as in rural areas. These scenarios will necessitate that developers be cognisant of foundational concepts and frameworks of privacy provided under data protection laws such as privacy by design to inform their design decisions when creating voice enabled applications. Equipping themselves with such practical privacy enhancing tools will reduce the disproportionate burden imposed by measures such as providing consent on marginalized communities that already face numerous instances of exclusion. 