A tecnologia de reconhecimento de fala nos permite pedir a Siri para verificar o tempo para amanha£ ou pedir a Alexa para tocar nossa música favorita.
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N6s4IglpydGBPC02Tw7i8PGUZLO/Yi+dsmjEFD8eF/JLksMT8D4GhocR3G2O5YURItnUqSjTlXnI1MVaTUakKdKf1CCP/IyKOLhU/QfYxeTVnYXZp0SqzZGTtrYpMcmNsbEajUahSNZqNQmX37cStqH4sJ7p83L5IS7KlWMFVxsyWLrXwNetUqZNZOxOxa5pLFu2thozJQ0ZPcsOBF2eGxVv05C8iWdxPKdRQUa8WdVSlU5lNQjSqOYnk3ks7d1zWazWahMxRR/Fg+anOazr4unQF9QlMnNycnd0qahGnBQhkxokjQaSxbsXKyxPvy+RkXYhiKkCGOIYmlP9CQvIh9iMZGTWHn0iGIjUqV6mkhqryitK7EXNRqGx5LvTKzuUvxYIqe7K4mSqwgsRjyUnJ0yTKW9X4pu8H2WLZ2HmsnxU3ll8vJCV3yRV3SjopeaQvIh9iLXMXFFJElObw8dMPE8331Oaf4sFxU9+VSpGCqYyZKcpM+YcT4ocow0vRm83k8rbCyry005DyXuyju+Mou0qeLnEp1oVPNIXlfYivKSpzqTkYL3L8nkWT76nMPxYL21PeV8SoFSUmMSGfK4lxSyoO0j4JZ2LExIaLCyxUvUx5R5yXpRJ2E8lIpYpojJSXjkLzPOJW0uFeLRgUQ9/ieSyffPmP4sF7Kn5JNRi7SnJXi9mPL45KQuFtKDI5T4iJFixMSGIsTemNWV2uMo8MihFzloWdKrKnKnNVI+Ji/RjlVqU4RoOLjD3eRDH3z5j+LBfixFdKTk2SPcpx1LJCIkH6o8FHdfI0W3jm8pcpZYqrdvcXL5P+UrvnKbu0ISY86VV05RkpLwsXkWTzXBjjCr+Gn3rvfgnyvxa2o335JIT3kTV8kIe0LbUJ7FCeiT4XCmpO3ayO7MRV0Ko85DORnBJ2FlERf1HyYev05LdeBnz41k+xGO5obUKfHcu9i75e6rN5MRZNSemSHs5q2SJHwnaUZXRh6wtu+RErVVTUm5OT3yRbeWwls3Y5diwso3vuiQkMwMm6fgZ8+OmhJDihxjbTEqKxBXMev5KNOPQhCOnpxNETpo6aJ07ZQVxU0dNHTR00aEaEaEKCHFCgjSjShpErJTlu3uiTEymVkk4SL3JZRPkZSkXGUqrvGSfc5FXE2G23J2WSyXCRck7kUaRZMiWZITsruRg5JVfD8+S7LsbZqeXBi3erGbVCE3o6jOpI1s6jHNvJOx1WdSRrZrZrY5s1s1McmamamXeVaQxiJ7F94P1VnlF3XJJMuLJkXaUWc5SfpjiKiFjD7tDxiPuJSTlKWVybv2I5ybvlHNDYj4YtzkhLRKMlKPgfPmebK+9f8A/KPtzfhYu6rLRC/ovqGQZM3IFYXOUtxrJPOm9soPd7POo7Z2Jc5LJslK4olldLJXycSPNyTELLAzvT8D5XkWTzlxU3xEvZbbwLx4mSc7+he6W5HmRqd4byqliKGrjWTWSyg7STzn6oG5D0pXLZVNk8kiw5DdywllcZuhbZR5eSyuYSeiv4Jcrx2EsmskT9vOKl3PsXbccjUjUjWjqKzd5R9jIysyexHmmt6nMSI2NZOJJCedN7ZQlpc46Jrd1XvnUe5FZSnmkjYWVj5QxW1SOBLPgpy10++YvM8kVPbH+1NmpGpGpHUR1UOsjrI6yOsdc651mdSTP5Gaax0cQz7aufZ1T7KRiKfQPmL2b3kQn6ZESPEuYI2Re40NITY43Uo2L5U3ZrOMXWjKLoCzb2Yt8pSzsJZWyY7XUrDucSXOXxlgZ+jvmLxvEI+6Puh4pn3DOuzrNqP5pykJVWdKuz7bEM+zrn2NQ/8AHsX09CwNM+yoiwtE6FJHTgiy78ZUvW+SpzIT9UyBL2JbrZfJu8mbwHaSlG2SI754b+xjv7OdeDpoSJSvkkWLCLs+bO3A85c3PhDzwstFbKdRRPuoixMWRmnlMXjWFZ9ohYOAsJRI4ahdYWih0KWn6bTjqsv06stFOo90XY0SPl8UioLZNiLGwz4N07aiUcsPRjXo/YyKGGcpyxdKEoYyE54nDaiGEjphRp0jF1OpVSJPPcSY1ZZO+bWXBMQxZouU5a6Zip75Uqsoyg7xmR8Vz7mofc1Tr1Tq1DCOUsUS9v0z8X6f1CdqMiLEx7kkPZkdlLlyIrcuNW7LiekkrxlE+n1NFU5VW0Z0Zaa8K0JEZJmKqaaT5k7ZbZpMsbZ75WELYmLJHxw8sFK9MxkezDSvGRHwN2J1oojiI9uA/tlZ2pfTP6v6f1CTdR3IlhXUJDyjvOTyWXGXxlyfEZEkL0yp11KnWm5w6SOjAhog/udJiMR1S9k8olstTNzYS2Y8vj5HwbEST7MHK1UxfGeFqWb4j4MVe3d9P/tmK2w307+n+niZKVZ8ouRJDype6TIp3WyL2RsWvlc5GrEHdMhOVMp+ukoVGOnNDpyQ46ZfLeW2fI7Gru2zfAmi/pLZxk1K5iVeGcXZ0p6oR8GJfp7vpv8AbMc7YTA7YP8ASm9MKjGJouhPeaHlSPlDVs7W7nscF1JNGCmrSi7tXdV6YVXqqcj3F2ah3Zt4LFtiwy9sr54eWqjUV4TVpZ0J2cX4K77/AKZ/aPqT/wDUwqthv0sU7YediwhCJbjyh+MhFktmLmw+LZXL5fKelvcjPRLDYynVTnCBicX1HJjdllHTlsJZq5bveUeckrnzlhHsYmNpFLD608GfatOEGizLM3L5vis/V3fSv7J9Vf8A61Hal+l9QlajPJZXG9pZR/Hsi+oaSLXF6TcbRfLZDbZwXOSO6kPK5yPcWSzdjYQ3ft2zvlFbIfbh3/KYtbIw9TSdaJ1YnUidRGtEpKyl6i45q1TeXd9K/sH1X8MPZ+l9T4kIQyIyWX/PyuZcI/6Z8yHk+fg+Ye+Xt/5WX/Aj/l+xDFl8Ilz4FwLliFwQ5MVwLOOfxD3EyfZ//8QAIREAAgEEAgMBAQAAAAAAAAAAAAERAhAgQBJQITAxQVH/2gAIAQMBAT8B2J25J7D8tBGhGtHq+E+2fc7PTZyPpB5J04OLODOLIHZeR0kaNVoPJNo0FRJxSwm1V1UTJGg7RpobtBBBJyKvOM6D1aP6QJEXcHjq18tDETaCLNeT9II6VCwWP71C+lVkfguuTmyJJR4wqqE+rgSHd9XSxZVvZnTTtNptX1lBGNS8asEa1Inlw/nVNitJOMzhPQzg/os6n4F0k4soeCvU5foW43ZYMTgTxqqFmtxvFXaE4OZyRyQ6xeqnZqxYrvKn1U7NWLtN3aPctpH5lJUiCCBL0LCm06rus1aferrKfdVdD65/boY9N4Id50v26HqPBYoX0dv/xAAkEQACAQMEAwEAAwAAAAAAAAAAARECECAhMDFAEkFQAxMyUf/aAAgBAgEBPwHYjKdmCOzNtCLTlGU92diTQjdknrSTswRjGxGKWyhi6a1PE1RJoRutGuXkeSJRN3KYqieirSSiOk6oJbIIIItTd0iUE/FYlebtCx8fgesaiRsm6JJzj4b5toNZJ2kn4z2UO0fFYsJyn4bxi8EYpDpI+XPz3eSb0/Sp6sdeokkm6evVknrVDyVfyIIKV7HaCMIIjCOkt9LCngqWdCljxga7isqcaXofotZwdoKVCxizQ1HcVNnhS4Y1I6YxoonUeCuxrqzaSSSSmnF3pY1J/GeDPBi/P/R6LDnB2r7NCl4oavS9be7e7VX5zr60EWoWmDFaL0vS03ducFgx9pnvJqClnkeWsnkOrYeFStBHUp5vUJjFgzjceD4u8o3qL1C52lZbC7VPF6ikWbIHtLB4QPor+t6ijZQ+RbNNnaoWDGU2/8QALxAAAAQEBAYCAgIDAQAAAAAAAAERIQIQIDESIjBAMkFQUWFxA2CBkSOhM0JSYv/aAAgBAQAGPwLdPQwebVPQ+4boGUxnIZhelto9DB9F5sHldRYWIOpfgcRjiKIMH1l3TUvyBkZDKOcswaLcPQwfRcOYyB1MdvVTDsfbpsR+KLBhzlmIZT3r1JCQc5NWwUX1X3hTjOq0sozEckjYZTWhtm9LyUYSrctDsH6MUz96LkGkyjOSh2DHQ2g2k9OEqOVLVodKbJtnhV1CLpuUlIZTMZ9zhgleVptqoclIPr32uUOZrJ9RyDbm+i+mXR1S4NSSi4cXF9Z6W1ULbeejQl4k0nKi4cOGPWelq20XpvsGD75NBpOU2MOMwY62rfTaTDwHDFRYW1S6Iuow4ZsLjOQY62rfSQeR52ZdScgwyh4Z3GYhcXqbTYJLzLCX0mwymO4cpMYdw7BjqbRI/EkqvqLQZdZsMpi0mFxmIMdJwgvNRSUewowwC2y/HXHKTByk0QzEOwVQY+P3Q03kRBC03MNCY4ToOf40H6w5DLJyDGFEBxWIxenHUzjFEeEgmIJFSoOL5CN7BbjDQszP6G5CwQEFchcZyDHI5HQ5BFYNDqrKH1J/ohj4/YQwwYWHEEiGWwIHsjCAi7ECKb/QjHx02GUKgg8kPZbI5Yzt9GMQVl4GExDqJUgw9whfRjEOgoI6yXUMzN5N9FiBetFDCVIFKI5qj6CQjuEObfQTBj8aK7LydT/QTBj8aWCF9gskkX0UwfrRwlCYww5e/cFEVTrLmLGLUn5HL9i6mGD/AEUxF60bGgsgOCKm1DVLK3R235yj9aVhFHzC13D1EXScq+h/JAOJAuIg0Rbs5R6aGQiiPmdpsHlesulOQsE5DiCwjMSh2B4jDRSvt49RCrTqbjhHCQ7BgsJuEMcQfbfJ9KcIQIMVD7P5N7fpx08IsMph9j8m7UiUw5i4SM1CxREQyQmY4CCHlPpK7n5NJYjGRhxmDKMzwlrqTGEqw/Ibd+jPu/k96DufYcCEFiMIQX/bcZYh/JD+hxIfnobDOGkp2Cbb5PdSxGgT4m8hTpI9wwcFD26JlCbiP3RmMZWDnWm3QpKQzZiDG/QcozbqP3NIbhYuYfbp2r81JG5BYd+hC26i9ycGaOEMJtlrxHJam/QWHf5gpbk/YPCHMKQUedmk8JWLUtRi5BS6xgKJpqF5BQpVJLwczLtooV6kCFJKmm/CYXqycqfASkiks8MWl5CnQkk1TU7b0tw1KSQ5JokR1uEg/Yep7hT0nk9hh770gW2SvlqlGV+YuozQjhMNCDOxBTPV5ztJyoXsCiLnvCBbfzS+sh2MYTowfub0rS4vK4dpNScP/O8IQ7VO02oLXxFcri8jjPkHOpdSwcqfBtvS2xyQwlDnR3DjxoOElgK0NayebTWb1XC8wUXfeFq2HCY4DHDLiIP8gRVM6fNT0qWhgLiKwPFxctViqU9A4O294T/Q4Ihwjl+w8RB/k/ocf9C5ixjgHAQ4SFqzoYtBqFClXAPxQWK58q7615F52nEQeMPGYuYt/Y4AZYCHyxGVjQW2cUXYcUmaTUFU01IKQaSk0ZDjGckIgkEK+QRHCi8xj+O/YZ1UYiJwZyQtC83regou+zuOIcZjjMfGpneRiM//AFtCh70NW5SSrwFKSd5IIoS5CE4iYNFI5IWg2ucPbb/H7lF6H52iFyKbhKCq8h2ocJyCgoiCwmMOIiH+b9Qi/wAh/hBlKIvYIiFkIea3kwuO9bSTlNwnepNJq4JR+hDtIjUNqMHFq/AYY4ofUr/0CWwMuwXkFncPJirsLC+hYEdS7GGUY+P1szOrlM5MHHYMH0CSUMB95kIjLmPFb6N9KGpNgXqRj4/Wziqaq+mhk0sRBDPDF2MLGZEEg4eVLzeV9kZbb8S/Ig9bMi7nSweZS7FNSDzaryFoXRtrNuj9Sh9gvWzg0SpPZlt4fey//8QAKhAAAgICAgEDBQACAwEAAAAAAAERIRAxQVFhIDBxQIGRobFQ4cHR8fD/2gAIAQEAAT8h1zEmjnLR7QngQ49aGaA1g2W/UtDxy5JWDoYlkqXHsFII0GhtBIi3itrQt0IVWJzSinCVOZDVmDlDSpoTEoqzpystDkobYyaUSDfKJKeKrAvcaLnCdY0Ng5GxGGSNVtlsSNRuSbkxzahihqIiaenlu4O0bRexHScJ6NPQhjTGKsChoJfA3ZaBhBTD1BuhtBBS8CbatCKBp1ibUhqouiW1+R60pPAqigvkck4/MXAcyV+hDSvTpiPMtoiDi6IaOFngLDQg1gzgZMNpJPAqEiPZahCGvRyRfOEZYgYgtiCa7ECWKmMzSYyIDPoug0qAxtlEopq9DXEHCsbLa9T3DQGgG2yFr0Ie8JtHg1WQQUxtg85Io2PQGrQtkSIl4Uz2ikDc0i22k+43/c0VDhPA/IiCe/6QcEytKRJd4KvTthdgitEIE4xTw0TZzMVVDCxxKqiGewG0hI6RuGznEEZggew8ApaE52IRzeNAtMF+2D0QntCi0KKwW2agVDcohVEL6XlpPY1qhDyRHrjrOKyh79IYtjCGLXEs6zyeEdJDoW6Ij9vwJd2EOdxDoc/7CL/0fcgJJEp1oTPIXnBKnImbRKrvyfJiZatDRBIVELxFslE4LUj0SkIDOBghsajfogglI5I0Q96OYGNvDQxpRzZiVwX8AevRB7QisaxF+K75Aj3KKomLpTk9hCORtF6tojSGgIey9DyiEymcAXbGuHPlFug0iTw6HpSwvBtfJXhEfIT8EBtrgqNA0tJkw9EsT7Ldawm03DOs27Q5v6Ql2NJDEtloaKKx8ljc2JQjLVCEMehs9CUGb0JVlI5bEdI8PaYxogZGRcAKCVIEv7GgvXpgtqnHUk+dCugG4TFUqazsEdg2i9O88OKH6HLZsQah4Uq2RpFFtOkWhY08NsUENEJ3KG01MTbpjT+UKSnaImTtD7BL3TH5EQiRKdjXJCWTb4DWvuTNCOfoukNojlERItYaofQbC36YxsnjF4U+QMgjLQ0QQQLYnWMxNGrGn46CkySLKftLw1yhj3aRekV6enhIGrVjZbXpe4sIhotKx7G2UFK0bqzcHZj2yDtscTsfJumg4uDzNkvAVd6xNtaY3WaRMsF4G0HB/wAI+xgsBdLkpIaobjZ+mCBtBYQqjg4pLe3ia5E8v0QNYeGLLBcbhdDNAG8cmlU5BGmftK6BhKxluBNcTlqdjWqENWRHo2M8EtBsFQlOsbYa0VehyMj9j8BANxpfkl8DaJR8US+CWghtBpaPsRhoY4M+RoPOxcHyVcuxSJPEmS/TBQlCg5odpdWI1JyFkCxPoLLXoY8PJRDDAoOvQck3BJGnbR2wajwg0oTT17WMbGkY3gaZ5RshHKDhPS0eNSFDja3hJ9jQC/Q5aXo0hIdKZ5shzY7cIc+f0IvI4Pgsh9miSelg/I9eSysnQhTig6jF+hKIUTRRDaHY6QQSix5UNC2QjQjuEE/Q8sYxGmNOb4IQn7XA9dDRXg14aDqnxuoY0QTPpdyg+aNG16VqM6RoHnYI7BtF6UMVtjkWh5UQbNP7ltWhQ3sqCA5WkNPtRQl1Q0pSMbUCh/6DNIZNfAm8n3FOjZnJYIo9rDNBEWLWigQklLYSonJWIPTg4djRCAkIhrOnKJJJzOHhI3E4IgY8nBB7Rwpx6IBwsm8MIBvYjshS0FNImnr0NJnDQLdh7CxJOOSEvQ0jzwEDFqxstr0NHtDoLoWqflkqnEXT/YdXQ/2GLgWxj3+hW3IVcCDggMMtDoDQV0IgsZsV+YlIfIkpuRtgxxIRob2Gmx9RsxuJnY0NDQmxKQhJCAQmDvOZE5j0KBKyo1OhjYaVh7OPRBsEcOahCB28hi2miXBsDR2T5EagNaiaen6Gk9jfB2DbL0SctI10Emjw0nsa1QnqyIGSKyolsW+XYim046Lu+xO7ZPcSyHYjgUxBBAw8BhTngvJtQ35RKLQuDFPQvFXXgTY7CmvRGBi0SbOn0D2jgZyiQhGXjREiSqCx59cZbNo16dKLxpNwEImKNS/3OH8Zp4/ItZH6dsjsHBGspvgT3Y1uhNPWGmyEcoJtbhHYh3P/AMDHnvFjShSwgZGHsksxaH2EHY4SiVM1mLtdmxFIYlr4ZLsSKKVCN3hjQ5Q5E5vCeGEHRwsaPIR4SLDwyB4SrGlX0NtFJv1GuA1qQ3KiNDE5L0NOLGy2sn0bBCHt6eTLTEN2eKJlUQK9ipqCWnIlI3siGxajnhyxOBB8ilizVitKJ+ydTZ240C0Md3yKjm62hqh8RPZYoOWsGNCbDwbxJIxoaGIrAnKMQgYx4b9Go1Hb6TaJM3MfjAd/GbJokyzR3IXqI0CJHp5Y5oFqctAlJOWbBEkmkZIF1A6otE/Ah5KBJhy5Hyy3JyNjr7i5rFqGoeUN1iW2dc7UPro6hZjHiUbMQx7ChkdCZCY+hfOAeiTgQoMChEpusThoaFKEjwTFsTIxjZPoeyYQuhu+ng1Ya9QIbybtGzdGyCmnNk5eSeJBbyLfFw0ns8cJbSbJEieEQHyFBV3ihqATyhgiREgTBUKC4UKiTRHLP2LqWhd4dMTJoSARzhNhHQznRcTyJYGDFJYliJ/A0NIbOTA1AsMPJakkHAkbGyScQxkk0UK1FjX1bR7RoEc2g0ik2ajtEKyHCFgT1KVz59DU7JpKaQm9eWImsaWy9IoiFsqFlwIxHiUwU93fSGoen5EkJWQklj/jJBK33CgqL7nCENYIHsajKHgmvgSDSQ4GxYck9jRjh42WNMgWDmEyqG8NjQxMG8m1RFiKwUYmQSEh/gXjm1YgboQL7F9GHfvk4RQUidyiK+CJt7bFCg6LXwLREg/7wvzPo7E/MHkU1o6REjQkIh1JiDDDVnwooBIRStcslwG60eRCeiWiUyOiRo8+xDww8QcMtDRoTkaxq+FFYoINf8DuLfKPIakR1lHQTtBtnRoGHuZeORzgkMKgS2hJ+LDVjSFJRCEqNGo0MTUjYmBhoeFdmQ0q9B8GDNCziCahutHkU9EtEp5aPPOQ9ikSITGFprEDEQINCvhQgggjFr62SgpD3LD/AHfz0Nm0bEQTIh7Rz9Q/LiwgaGRYhhk8KvAxCJG4pDsYIpfQ56tpHrQxbGcjtGd+A46JLZTJaIM+MNHgjFWIIE43JiQiihBBBGGSGr61jEbcd/1/nrR5ogKEtfcp0RAsPCkOA53QlQhGBETJaENUx6G4Npwt5GTd2wlKISyHRmCFI1CKSoe3DKZQ7keA5kIhGIIEsiJ/UKPS5ii7f1sYJCS4hr9D9hDLkjrSRpDww1lMIi1sdRXIq5O0NNGSixsiN9DsUEW5Ng3LY2Cw0YwrkRIniUJKj0BBHrUQgj2pP8BsP2j957LSCSngOcjCcmTCGpgggR9L7iqwYTXhFBqNsMquFtjEnXJ24DmGGJPDOQe4vRAggvcae1gggj/AfpH75/X7LkNpkQHmpSNK0QaQvgabkExBQJwbEjNF8Elyc94Vw9jOyZ5oQ+hJ8Qgj6DX2sEEEf4IBs9mh7GxUvu1wLWRooW0cS2K3ga2Mi3TJApN0aDscEh0RJm7Eum29sTdx0/kwxhStEt8kEfQaf41sNfZS0KTdL8DHWNu7Y5zli2NkzdEZcWzTofAkbD8BIUoO1mM5ELgNKOiHfAdb8mEmncYks4FJbDV/TaG3+KjG32tDyPom0lt42IIUHMC/b3g5FxGqiHoh+COITnQsbShCLCkxyZvArJ1OhGm2hAt8MbtBSSCH6a9C37q2WTX+A2w/Wey0nwPrDlCXkKUu+fDGTehiUs3diVsRbTocgrS0iRokfAboSSpJwvRmj6feveSl4CZQxPwdqeTqA209potsT8jD92cNAbz9Ne2xSvEbEERd4Y7HlAYgd2ObgjyCUaRI42W+QSrEhUEQL9OPBe5rUndBz0bnpkushSA0IiMqq2FH0NmoiDafIoNBq2xDVjgx7eNha9thyEL5vP0V7bFbBDShnImaGWil1IlvwJNF0EQkmWUhjoRpmmo/l9OwvcnCNhRCyaFRNDLWobbOCdyJgimmo2myrYnaZJkQaBa9p4yTmv6SGtCY4DsNK9bKpwqPuU1ou2I4GW4JHZOBaJPgajkZhpNfx9QL3JsQgNSI1HSPLjwVVB2YbqplslovkkIngXymIpYteiSROfQw9YZpg/jNkJjHOEjYvQxJMpCPyM0ho0GKNEiDuIxI+NY1Gw4qQS0afj6NuBSzuL3JGizKbKyWvspCSYaTVoZ2gnqBdmC8ZNMMs8NkjEpJGpHQSvBRY/3UahDGxEhMkTzONhvNs4IsJmE79OuGaSYaupdCXaaStRw+hQSIGEeRdCk4Pkbqw719DSzuae5JjbIeCYQrcCSFyUkRmFsTcEIkdm4mSJtDzDKCYwSow9HJsgwP30NBVh1GWwMQ3BRwaSJRn+IZhIuUIeLQpjF1CiIUIIGqjsg/UAOCSCJOxxfghVOxkTIi8R0Fala9+PogbyETIOJVlDBpJIyxiiAblySoe8baEoQ2GMexCdE5Ewi5oQQNWD9V6mnQyo+CJlpeCWPkxj+QZOUNuRQS3y+zn0CXQ5OxQGEGPH68Gh1NLgeHoN0R++BUuS6ZVFnYeJKRx9aNDYeFk9JbLrCBbzOBKoBI2Tko+gGymibJJJJGoax/DAYyOIHhRNoNaaodiQkmpUUG+BdD4ewTGMYYaINPQX9iRVh5H5GM2owx7H/ERLgRqdtNxCN9U5c/WOhvlYtEsUdaNj2K4GRNWL0r1EIb2L+OLbBkig8DEqvsnTvuNStYNAaQm4kk0vA3cfgWGJySEhDKDx2LyImPI2DZqHodCQJEw/MOq55IBkRooP8AkCD8R+9p7taNh1hYOT2EDgXaUIuGEP0LKGP0C9Z/HG78Tj6bb4HimfkM3sTuWPtCwnkLaEiVRMoV4PAnZGCKQiTBsJiXpDTOHBueNsXgsKlP4IEcsopCaIiN+S5RJyV7mnu1oeSN1ItUkeMMluDZhYYxb9LelXrv543YPDaKJcggjkhHIJhRgtiYahyPcYHchSmdWNCDbAsSziqhJEEPfgey9l2Q7xRsIlwcCy5f3Hs2iXMM+xvBKk0u0TjXnsJrvlde3qb+4nWGiMLycjXGxzTBuwsMeELDGL0BYeVj/ibPmbCvsYy5sS+dFQj4AS1QzYb9ibbIWfDHkMosVJiRFcCHoSWQPMBUQKkOweTZWHZQPkUJDYaWzfxwaopFpYfA4jDJO5+5xpCbS3oi622Ib5T9rU294hBFjQEqHIPsF2QIgY8lhkCRFYQQQQQRn/gNkxaWP/0ElLocnCiGHbYk0P6rGww0jFBDa8DspGwtJFpCiTIcmJCGQUQlrxYl/wBH5Tk1Ze8IlDgg0tQlDyRobENeRZPJ10QlAtSjRIU7SY6C2xDJCOU/Z0EF709HOTSh+qbMLDHmhvKG6GwbJ9HBcNQroLs2nb7ZKCQn8iG1bY/PXAtnHJKlaEbjWHkPUNQQQ31wx5NELhEel6gSiMKy0skmkKE70bLJv9sFCTb2RSIksWx2LxgUNJf0599jTVoZqQJ8wneybkRxYhpE1ezpivbVHo5BTCGoU1iI1yxBRbTB4hi3iloeycQB+jycI/RtFm8KsHRP0F4g0QTXyxu+SzFUJl+JlEPYlBqHB2E5mcYP0KWCzuVqSom0c5kbgRMskhCO1iRNLNSNzk90QsvgikexK8DGyjs8UyiTVD9MpTmZ7GYZQyFeBCyhLHsvQyvbTa0LsH3HaEjkbb2Jwob8oREkdZDyeY841m5w7QQsl34/Id8l5FBsa5F2D7DzEslUXZWZGb1o4oVBSs2VBFqByMk5Q194k7RRQjfCYD784PwNbCEqAvVPkO1+Fke/zHIfuTAknGqI3Y6eCdROEUV/gSbSx38GotCRDUEdphRrZHmxCpWIzqBf+gTyMmjgmUIYldtJqQSfYeFe4sucaDwPI6PTheojkSHjcQ4wszj54OduypqKE+KIvL7Lb0TKEqKNaG2lB2KSHC3HyQ1aKcKeRk8BMflC+UCT7ESuBlOhEV2rEx/snpSOkhpwQlSxKbCPsaHBNcP8CQHBpxTEHP6ElCDEv0EVdjTkzp2QOnBzFIkXbfr2rT23vB4LYkJY/JGoKkgSIGhoSGhbynD2IevQiVNCE0loeOgqjwK0Hn4WyRyYluxNJ4BCQ2cg9WPTExpHvCVE4psivyQm3w/B9g9DjVdskbbJYknRob7uXMFK3oiGfEXmMau0LfQvGR3zsXQjmmxy5bTYjbxIoC7kSVb+BC0Ux8ECm+R7Vp7e2CMEYLYdHyKYo5JENYIY94NiG6E0JOxHZ5DzD7hoZ9Iax9mhFdkE7OnGNNOH2IJEyzsHKaHfYEkkrYxrWItwIvPY5Vgk0SijjR406ZIcdr4FaEuRcPnO2IXY/wAjXhyPQly0cCJubCg5LY1GkLyIxJakdRujKrsepZljaQ71JoSR/CIVEKbYptuh47exsa+3yLJjWMpl/uFp2Ktjk2PvIeR9+KiZNZxYfEPWYT1fgE/X4RcyJ/CX3E3afuJ+j8ERK+7WiXwIY1IqUxBCaHzXGp8GpvSEvejyD3ocEN9iQRO5IPAg5SlcoR+hwFhWDSfOExM/nI07x8POCwhB7kSQtS9ErrCSgl3+DsX5Ff8A4jedr8ihcEBk7D+kiN/yEyTBaQ3RPRMJKkjs8kzT7Ifr2Nfbl7GiGWCrC2yGcmhtqmaIS0vwC5RfLQm7gE/TFwg5LhLbxI2z7if+wtQ1ofjErSetTM6pCcyiROI+RIi2oGXB+CHWE8ZtlFvfBNpYuhWNUllTK6HsX5Gl8ssrceELQp+RPzlD7LX8JGhjQ3hFfkF/QJEETrYq6Wi24FR4OI6N7EcKRd3HSQkSLTApNkN9h7EKPJKTsZdCfUITYz+4UKG4FoYnJ9xoZ06MbxsBoezmEad5a5fsNbJf6k/6IE9t+5DKTHBSNEV0PKjcCSfh9H40CG7t9h3xr4EpUsKptjqRYeVZtekJKh0bcQx7eyb1sUt2ay3Iy4GuA93XyKCLVE+Oy+fuQhHbqPyKC0/A6OZ2uzVC4UjjrCFxHl2IuUu4ZPyOzGfZli+MRAkLgpPGNo2xQI8D7CfaIvhFdvsKG/A4YlUlbY1k3EjbXyE5pCTopyL6IN0MqNySKCmiOeGntPgsf/5obybt/lJwXm8PDvAvyvpPkj/DekxirQmIXWxmsJKj8F4rBNRBL5KJITP/AJJZMYkkicQUGgJ32zspfJZR+hn9BSkfBuaXyi0uinQ7W06Eldp4lilq0fJIpTaEFNMozt0WkQOblnwLsKuIN8tnEUUJmjyglRQ42LpP2HHUMbxLgS9jSqTyeW5D4fcWxknNo8oTYlXlOHJDmvs0pYk2KS36UnAkfTC7dv8AScQim7JC5BmNE+DpH7FgTGaHkfp/hCiLf2QjmkzgTrG/A3abX5Wxrk8ENolH2HkZEENBupuSDRi9YuZkUlo/kZM7+CoZr9wEknW3RUSgdjtctDQonexIR/HkflIq5FwEsIaZf/J0C+SCtrI06bFqieZbFkwkT5GdqGS0YWJnb8IR4yMLf0WZjzMf2HS4bb2/Us/f/mGklY88v9/SOXSeSsG/Z8hI+fwPwJdCY5ehjdD0kNZ+WNt7osJ4nfYoTDcJCGYcJFPBvbJFWSqbtCw20GkQh9oVMQbT0ojVCU+R5DRBvtZHkdBMs2hsfbFblnYUuJF9mJS8EKUj8s6KvsTRLY7uC44JU2Tw/YUzIl8oeZskQ2pFo7KPNjSRPyOprFJJrT9INWgstsv06nrSfhePtMT6MPGaENudkJqRbYoqRxKHLs308uUa7QPw+ylKV0Q+WPyIbbJXRMUTVNL4KjyQ9QN2sbdk0Ni6EVP7E1FJlWt8CJE7ENPvQjQ2ofBaDyIQWJvQoW4+5tK/g28eRcUhpraF5J6hDfwJEeSK3+I/IIQStk9CW3LFLZerFCJRyqJIk0P0cmsTwyScTRO4H6l/MxB52iBeP0fzmiZ1I3wh2b1+ySBYJKM+2JS6RIpV2PRZ9obW3TL0RFkaLjg0vRSd/gpxA50iNsamiNCGF05HI4NiWlyggar3JKopTEChbY2JMQtaE4Wxw24UIfWWxE9Cm6n7WQmpgjdClDZuXo+8ErqRuekRVspcSJyxl85G+ER5vAiIOi4r7iHy/lCtQXOLvBeKRXGQcFZbLWLXrTbzxAi7KQul+kgG4fA2NHEid8IU3y8QTch8IxCCFe2JeYsSkNQJmmiFi+xprWFwKUv2Q5mS3Q8ElFpdJEifHI29ma+xCYfcp8CYuwpZuM2KlRdCeCb7ZF/9CaxD7Y4abY3KRGgR5I6g/JTF5EqK/ImltSNeliRmIhGl0vI2tSYrTfQxeBqWXToTNgsxKwzzHmECwrrlxEjpZMWRe0P2Zv8ARfR/0YczbDdjur4y/gPNOGO5w+TaPQGHvHV8m8emD1hwasjYd7DZHDB6ORdnDjkZwIQ9Y3ifJZJNTkbB7wyytRL7E32O42JvsTfY28nUZ94eP//aAAwDAQACAAMAAAAQ/BQn2QA5yFR5S+pCtpFV9tZA3hatDCkA0IO/DwTiSzJRtw2Sks62QRQQl28KxRzNUbymlBFVnf2LkDKGNJLUqGHNz/tYdtuNCtrbD+9gNrzSQLOs9ri85gMt594fvMpPJfaRixkAh1NtqXgi70GxeeipSNpAAsCEmELWfex7fsRMoftIudINICSkSIY6515RXawMiewsqN5KEEIAAZRWGyUXyuI3jEgj2M3I+4zoIbHHNig0KukToYgGiz0VSWOScAHARNfoOCatV4Xnrv7DE+mM+7hHchR6KHIOiMD8QYKrWpKxBwRnTPxrEQlZ/KYHyPuJwH0tFc2zVSw9UK9fpEyK4CgS04CxAAAAAAAAQvLfHX6wqf2t7LPsb3nC/DeNxnXTMygt2WIIqmUOAAAAAAAAAAAAAQx/aIN1KudWoJcUOUgfsBhsdeMVsGEKqAAcncZgAADAAAAAAAEELPIBpjeueF1iGXIiYzbzfZsQZpWoGOQKQvTQAAAAAAARBAAhRRwYOAAA6m0ZowlsyjyJ9Zv70K2FRtwuWgMd78AAAAAAAEIAAAAAAQVAAAUhbEalT/ZqY7hrRRrLtBhlNAYGY8FrAAIAAAAVpAA3SAdOH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)
Ruidong Zhang, estudante de doutorado na área de ciência da informação, demonstra o dispositivo de reconhecimento de fala silencioso SpeeChin. Crédito: Ryan Young/Cornell University
A tecnologia de reconhecimento de fala nos permite pedir a Siri para verificar o tempo para amanha£ ou pedir a Alexa para tocar nossa música favorita.
Mas essas tecnologias exigem fala audavel. E se uma pessoa não puder falar, ou se a fala vocalizada em um determinado ambiente não for apropriada?
Cheng Zhang, professor assistente de ciência da informação na Cornell Ann S. Bowers College of Computing and Information Science, e o estudante de doutorado Ruidong Zhang tem uma resposta: SpeeChin, um dispositivo de reconhecimento de fala silenciosa (SSR) que pode identificar comandos silenciosos usando imagens de deformação da pele no pescoa§o e no rosto capturada por uma ca¢mera infravermelha (IR) montada no pescoa§o.
A tecnologia édetalhada em "SpeeChin: A Smart Necklace for Silent Speech Recognition", publicado em 31 de dezembro na revista Proceedings of the Association of Computing Machinery on Interactive, Mobile, Wearable and Ubiquitous Technologies .
Ruidong Zhang também apresentara¡ o artigo em outubro na conferaªncia Ubiquitous Computing (UbiComp 2022).
"Ha¡ duas perguntas: primeiro, por que um colar? E segundo, por que falar em silaªncio?" disse Zhang. "Sentimos que um colar éum fator de forma com o qual as pessoas estãoacostumadas, ao contra¡rio de dispositivos montados na orelha, que podem não ser tão conforta¡veis. No que diz respeito a fala silenciosa, as pessoas podem pensar: 'Já tenho um dispositivo de reconhecimento de fala no meu computador. telefone.' Mas vocêprecisa vocalizar o som para eles, e isso nem sempre ésocialmente apropriado, ou a pessoa pode não conseguir vocalizar a fala."
“Este dispositivo tem o potencial de aprender os padraµes de fala de uma pessoa, mesmo com fala silenciosa â€, disse ele.
“Estamos introduzindo um fator de forma totalmente novo, um novo hardware, neste campoâ€, disse Ruidong Zhang, que construiu o prota³tipo original em 2020 em sua casa na China, enquanto completava o primeiro ano de seu programa de doutorado remotamente.
O dispositivo ésemelhante em aparaªncia ao NeckFace, uma tecnologia que Cheng Zhang e seus membros da equipe do SciFi Lab revelaram no ano passado. O NeckFace rastreia continuamente expressaµes faciais completas usando ca¢meras infravermelhas para capturar imagens do queixo e do rosto por baixo do pescoa§o.
Como o NeckFace, o SpeeChin possui uma ca¢mera IR montada em um estojo de colar impresso em 3D, que épendurado em uma corrente de prata com a ca¢mera apontando para o queixo do usua¡rio. Para maior estabilidade, os desenvolvedores projetaram uma asa de cada lado e colocaram uma moeda na parte inferior.
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Conveniaªncia e privacidade, disse Cheng Zhang, são duas razões pelas quais uma ca¢mera IR montada em um colar pode ser preferavel a uma ca¢mera tradicional na frente do rosto. "Uma ca¢mera na frente do seu rosto estãotirando fotos do que estãoatrás de vocaª", disse ele, "e isso levanta preocupações com a privacidade".
Para a experimentação inicial, que contou com 20 participantes (10 falando inglês, 10 chinaªs mandarim), foram feitas medições para determinar a posição da linha de base do queixo e, em seguida, imagens diferenciais foram usadas para treinar o dispositivo a reconhecer comandos simples.
Ruidong Zhang fez com que os participantes pronunciassem 54 comandos em inglês, consistindo em dagitos, comandos interativos, comandos de assistente de voz, comandos de pontuação e comandos de navegação. Ele então fez o mesmo com 44 palavras ou frases simples em mandarim.
SpeeChin reconheceu comandos em inglês e mandarim com uma precisão média de 90,5% e 91,6%, respectivamente. Para testar ainda mais seus limites, os pesquisadores conduziram outro estudo com 10 participantes, todos pronunciando silenciosamente uma lista especialmente projetada de 72 "não-palavras" de uma salaba usando fonemas - combinações de 18 consoantes e quatro vogais.
Finalmente, os pesquisadores recrutaram seis participantes para proferir 10 frases em mandarim e 10 em inglês enquanto caminhavam. As taxas de sucesso foram menores neste estudo, em parte devido a variação nos estilos de caminhada (mais versus menos movimento da cabea§a, por exemplo) entre os participantes.
O projeto ilustra o poder da determinação: Ruidong Zhang construiu um laboratório em sua casa, completo com estação de solda, e recrutou pessoas em sua cidade natal como participantes do estudo.
"Mas como moro em uma cidade pequena e édifacil encontrar pessoas que falem inglês", disse ele, "na verdade acabamos em HangZhou, na Universidade de Zhejiang, para recrutar falantes de inglês. Foi uma experiência inesquecavel para mim".