\nX\u1eed l\u00fd (Processing):<\/b> \u1ee8ng d\u1ee5ng tr\u00ean \u0111i\u1ec7n tho\u1ea1i \u0111\u1ea9y g\u00f3i d\u1eef li\u1ec7u n\u00e0y l\u00ean M\u00e1y ch\u1ee7 \u0111\u00e1m m\u00e2y (Cloud Server)<\/b> th\u00f4ng qua 4G\/5G. \u0110\u00e2y m\u1edbi l\u00e0 n\u01a1i “ph\u00e9p m\u00e0u” x\u1ea3y ra.<\/p>\n<\/li>\n<\/ol>\n
V\u00ec v\u1eady, tai nghe phi\u00ean d\u1ecbch \u0111\u1eaft ti\u1ec1n kh\u00e1c tai nghe th\u01b0\u1eddng \u1edf ch\u1ed7: N\u00f3 c\u00f3 Micro x\u1ecbn \u0111\u1ec3 thu \u00e2m chu\u1ea9n “\u0111\u1ea7u v\u00e0o” (Garbage in, Garbage out – \u0110\u1ea7u v\u00e0o r\u00e1c th\u00ec \u0111\u1ea7u ra c\u0169ng r\u00e1c), v\u00e0 con chip Bluetooth t\u1ed1c \u0111\u1ed9 cao \u0111\u1ec3 truy\u1ec1n d\u1eef li\u1ec7u kh\u00f4ng b\u1ecb t\u1eafc ngh\u1ebdn.Hi\u1ec3u r\u00f5 c\u01a1 ch\u1ebf Cloud Server n\u00e0y, b\u1ea1n s\u1ebd n\u1eafm \u0111\u01b0\u1ee3c b\u1ea3n ch\u1ea5t c\u1ee7a vi\u1ec7c t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn \u0111\u1ebfn th\u1ebf.<\/p>\n
\n<\/span>2. “B\u1ed9 t\u1ee9 si\u00eau \u0111\u1eb3ng” trong quy tr\u00ecnh d\u1ecbch thu\u1eadt 0.5 gi\u00e2y<\/strong><\/span><\/h2>\nY\u1ebfu t\u1ed1 th\u1ee9 hai gi\u1ea3i th\u00edch t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> ch\u00ednh x\u00e1c ng\u1eef c\u1ea3nh, \u0111\u00f3 ch\u00ednh l\u00e0 Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI).<\/p>\n
T\u1ea1i sao quy tr\u00ecnh \u0111i v\u00f2ng v\u00e8o t\u1eeb Tai nghe -> \u0110i\u1ec7n tho\u1ea1i -> M\u00e2y -> \u0110i\u1ec7n tho\u1ea1i -> Tai nghe m\u00e0 ch\u1ec9 m\u1ea5t ch\u01b0a \u0111\u1ea7y 1 gi\u00e2y? \u0110\u00f3 l\u00e0 nh\u1edd 4 c\u00f4ng ngh\u1ec7 c\u1ed1t l\u00f5i ho\u1ea1t \u0111\u1ed9ng song song:<\/p>\n
<\/span>– B\u01b0\u1edbc 1: Kh\u1eed nhi\u1ec5u & Nh\u1eadn di\u1ec7n gi\u1ecdng n\u00f3i (ASR – Automatic Speech Recognition)<\/span><\/h3>\n\u0110\u00e2y l\u00e0 b\u01b0\u1edbc quan tr\u1ecdng nh\u1ea5t. Tr\u01b0\u1edbc khi d\u1ecbch, m\u00e1y ph\u1ea3i “nghe” r\u00f5 b\u1ea1n n\u00f3i g\u00ec.<\/p>\n
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Tai nghe th\u01b0\u1eddng:<\/b> Thu c\u1ea3 ti\u1ebfng xe c\u1ed9, ti\u1ebfng gi\u00f3 -> M\u00e1y d\u1ecbch sai.<\/p>\n<\/li>\n- \n
Tai nghe phi\u00ean d\u1ecbch:<\/b> S\u1eed d\u1ee5ng thu\u1eadt to\u00e1n DSP (Digital Signal Processing)<\/b> \u0111\u1ec3 l\u1ecdc b\u1ecf t\u1ea1p \u00e2m m\u00f4i tr\u01b0\u1eddng, b\u00f3c t\u00e1ch ri\u00eang t\u1ea7n s\u1ed1 gi\u1ecdng ng\u01b0\u1eddi (Voice Frequency) \u0111\u1ec3 g\u1eedi \u0111i b\u1ea3n thu s\u1ea1ch nh\u1ea5t.<\/p>\n<\/li>\n<\/ul>\n<\/span>– B\u01b0\u1edbc 2: Hi\u1ec3u ng\u1eef ngh\u0129a (NLU – Natural Language Understanding)<\/span><\/h3>\nM\u00e1y kh\u00f4ng d\u1ecbch t\u1eebng t\u1eeb (word-by-word). AI s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (t\u01b0\u01a1ng t\u1ef1 c\u00f4ng ngh\u1ec7 GPT) \u0111\u1ec3 ph\u00e2n t\u00edch ng\u1eef ph\u00e1p v\u00e0 ng\u1eef c\u1ea3nh.<\/p>\n
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V\u00ed d\u1ee5:<\/i> N\u1ebfu b\u1ea1n n\u00f3i “Ch\u00edn”, m\u00e1y s\u1ebd x\u00e9t xem c\u00e2u tr\u01b0\u1edbc b\u1ea1n n\u00f3i v\u1ec1 s\u1ed1 \u0111\u1ebfm hay n\u1ea5u \u0103n \u0111\u1ec3 d\u1ecbch l\u00e0 “Nine” hay “Ripe”.<\/p>\n<\/li>\n<\/ul>\n<\/span>– B\u01b0\u1edbc 3: D\u1ecbch m\u00e1y th\u1ea7n kinh (NMT – Neural Machine Translation)<\/span><\/h3>\nThay v\u00ec tra t\u1eeb \u0111i\u1ec3n t\u0129nh, NMT m\u00f4 ph\u1ecfng c\u00e1ch n\u01a1-ron n\u00e3o ng\u01b0\u1eddi li\u00ean k\u1ebft th\u00f4ng tin. \u0110i\u1ec3m \u0111\u1eb7c bi\u1ec7t c\u1ee7a c\u00e1c d\u00f2ng m\u00e1y Lingotrans ph\u00e2n ph\u1ed1i l\u00e0 kh\u1ea3 n\u0103ng T\u1ed5ng h\u1ee3p \u0111a c\u00f4ng c\u1ee5 (Multi-engine Matrix)<\/b>.<\/p>\n\n- \n
N\u1ebfu d\u1ecbch ti\u1ebfng Anh: H\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng ch\u1ecdn Google ho\u1eb7c Microsoft.<\/p>\n<\/li>\n
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N\u1ebfu d\u1ecbch ti\u1ebfng Trung: H\u1ec7 th\u1ed1ng t\u1ef1 \u0111\u1ed9ng chuy\u1ec3n sang iFlytek ho\u1eb7c Baidu (nh\u1eefng c\u00f4ng c\u1ee5 hi\u1ec3u ti\u1ebfng Trung t\u1ed1t nh\u1ea5t th\u1ebf gi\u1edbi).<\/p>\n<\/li>\n
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\u0110\u00e2y l\u00e0 l\u00fd do tai nghe chuy\u00ean d\u1ee5ng d\u1ecbch chu\u1ea9n h\u01a1n vi\u1ec7c b\u1ea1n ch\u1ec9 d\u00f9ng 1 App c\u1ed1 \u0111\u1ecbnh.<\/i><\/p>\n<\/li>\n<\/ul>\n<\/span>– B\u01b0\u1edbc 4: T\u1ed5ng h\u1ee3p gi\u1ecdng n\u00f3i (TTS – Text to Speech)<\/span><\/h3>\nV\u0103n b\u1ea3n d\u1ecbch \u0111\u01b0\u1ee3c chuy\u1ec3n th\u00e0nh file \u00e2m thanh v\u1edbi ng\u1eef \u0111i\u1ec7u t\u1ef1 nhi\u00ean v\u00e0 ph\u00e1t l\u1ea1i v\u00e0o tai ng\u01b0\u1eddi nghe.<\/p>\n
<\/p>\n
\n<\/span>3. T\u1ea1i sao tai nghe “kh\u00f4n” l\u00ean m\u1ed7i ng\u00e0y? (Machine Learning)<\/strong><\/span><\/h2>\nM\u1ed9t b\u00ed m\u1eadt \u00edt ng\u01b0\u1eddi bi\u1ebft v\u1ec1 c\u00e2u h\u1ecfi t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> ng\u00e0y c\u00e0ng ch\u00ednh x\u00e1c, \u0111\u00f3 l\u00e0 nh\u1edd c\u01a1 ch\u1ebf H\u1ecdc m\u00e1y (Machine Learning)<\/b>.<\/p>\n
T\u1ed1c \u0111\u1ed9 x\u1eed l\u00fd n\u00e0y l\u00e0 c\u00e2u tr\u1ea3 l\u1eddi thuy\u1ebft ph\u1ee5c nh\u1ea5t cho c\u00e2u h\u1ecfi t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> g\u1ea7n nh\u01b0 t\u1ee9c th\u00ec (real-time).<\/p>\n
M\u1ed7i ng\u00e0y, h\u00e0ng t\u1ef7 c\u00e2u tho\u1ea1i \u0111\u01b0\u1ee3c x\u1eed l\u00fd tr\u00ean Server to\u00e0n c\u1ea7u. H\u1ec7 th\u1ed1ng AI t\u1ef1 \u0111\u1ed9ng h\u1ecdc c\u00e1c t\u1eeb l\u00f3ng (Slang), c\u00e1c t\u1eeb vi\u1ebft t\u1eaft v\u00e0 c\u00e1c kh\u00e1i ni\u1ec7m m\u1edbi.<\/p>\n
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H\u00f4m nay c\u00f3 th\u1ec3 n\u00f3 ch\u01b0a d\u1ecbch chu\u1ea9n t\u1eeb “Flex” (khoe khoang).<\/p>\n<\/li>\n
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Nh\u01b0ng ch\u1ec9 c\u1ea7n c\u1ed9ng \u0111\u1ed3ng s\u1eed d\u1ee5ng nhi\u1ec1u, tu\u1ea7n sau AI \u0111\u00e3 c\u1eadp nh\u1eadt v\u00e0 hi\u1ec3u t\u1eeb \u0111\u00f3. B\u1ea1n kh\u00f4ng c\u1ea7n mua m\u00e1y m\u1edbi, ch\u1ec9 c\u1ea7n c\u1eadp nh\u1eadt ph\u1ea7n m\u1ec1m (Firmware\/App) l\u00e0 thi\u1ebft b\u1ecb l\u1ea1i th\u00f4ng minh nh\u01b0 m\u1edbi.<\/p>\n<\/li>\n
- Kh\u1ea3 n\u0103ng t\u1ef1 h\u1ecdc h\u1ecfi li\u00ean t\u1ee5c c\u1ee7a AI ch\u00ednh l\u00e0 c\u00e2u tr\u1ea3 l\u1eddi thuy\u1ebft ph\u1ee5c nh\u1ea5t cho vi\u1ec7c t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c c\u1ea3 nh\u1eefng t\u1eeb l\u00f3ng hay ti\u1ebfng \u0111\u1ecba ph\u01b0\u01a1ng kh\u00f3 nghe.<\/li>\n<\/ul>\n
\n<\/span>4. S\u1ef1 th\u1eadt v\u1ec1 ch\u1ebf \u0111\u1ed9 Offline (Kh\u00f4ng c\u1ea7n m\u1ea1ng)<\/strong><\/span><\/h2>\nD\u01b0\u1edbi g\u00f3c \u0111\u1ed9 k\u1ef9 thu\u1eadt, t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> khi kh\u00f4ng c\u00f3 Internet?<\/p>\n
B\u00ecnh th\u01b0\u1eddng, AI c\u1ea7n h\u1ec7 th\u1ed1ng m\u00e1y ch\u1ee7 kh\u1ed5ng l\u1ed3 (v\u00e0i to\u00e0 nh\u00e0) \u0111\u1ec3 ch\u1ea1y. \u0110\u1ec3 ch\u1ea1y Offline, c\u00e1c k\u1ef9 s\u01b0 ph\u1ea3i th\u1ef1c hi\u1ec7n k\u1ef9 thu\u1eadt N\u00e9n m\u00f4 h\u00ecnh (Model Quantization)<\/b>. H\u1ecd thu nh\u1ecf b\u1ed9 n\u00e3o AI kh\u1ed5ng l\u1ed3 \u0111\u00f3 l\u1ea1i \u0111\u1ec3 nh\u00e9t v\u1eeba v\u00e0o con chip nh\u1edb b\u00e9 x\u00edu trong thi\u1ebft b\u1ecb.<\/p>\n\n- \n
\u0110\u00e1nh \u0111\u1ed5i:<\/b> V\u00ec b\u1ecb n\u00e9n, d\u1eef li\u1ec7u s\u1ebd \u00edt h\u01a1n, kh\u1ea3 n\u0103ng hi\u1ec3u ng\u1eef c\u1ea3nh s\u00e2u s\u1ebd gi\u1ea3m \u0111i kho\u1ea3ng 10-20% so v\u1edbi Online.<\/p>\n<\/li>\n- \n
L\u1eddi khuy\u00ean chuy\u00ean gia:<\/b> Ch\u1ec9 d\u00f9ng Offline khi th\u1ef1c s\u1ef1 m\u1ea5t m\u1ea1ng (tr\u00ean m\u00e1y bay, v\u00f9ng s\u00e2u). C\u00f3 m\u1ea1ng h\u00e3y d\u00f9ng Online \u0111\u1ec3 AI bung h\u1ebft s\u1ee9c m\u1ea1nh.<\/p>\n<\/li>\n<\/ul>\n
<\/p>\n
\n<\/span>5. K\u1ebft lu\u1eadn: Ph\u1ea7n c\u1ee9ng hay Ph\u1ea7n m\u1ec1m quan tr\u1ecdng h\u01a1n?<\/strong><\/span><\/h2>\n\u0110\u1ec3 tr\u1ea3 l\u1eddi tr\u1ecdn v\u1eb9n: “T\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c t\u1ed1t?”<\/b>, c\u00e2u tr\u1ea3 l\u1eddi l\u00e0 s\u1ef1 c\u1ed9ng h\u01b0\u1edfng 50\/50.<\/p>\n
Ch\u00ednh con chip x\u1eed l\u00fd t\u1ed1c \u0111\u1ed9 cao n\u00e0y l\u00e0 y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i gi\u1ea3i th\u00edch t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> m\u01b0\u1ee3t m\u00e0, kh\u00f4ng b\u1ecb gi\u1eadt c\u1ee5c.<\/p>\n\n- \n
Ph\u1ea7n m\u1ec1m (AI):<\/b> Gi\u00fap d\u1ecbch \u0111\u00fang, d\u1ecbch hay, hi\u1ec3u ng\u1eef c\u1ea3nh.<\/p>\n<\/li>\n- \n
Ph\u1ea7n c\u1ee9ng (Tai nghe):<\/b> Gi\u00fap thu \u00e2m s\u1ea1ch (ch\u1ed1ng \u1ed3n), k\u1ebft n\u1ed1i nhanh (Bluetooth), pin tr\u00e2u.<\/p>\n<\/li>\n<\/ul>\n
N\u1ebfu b\u1ea1n c\u00e0i App l\u00ean \u0111i\u1ec7n tho\u1ea1i, b\u1ea1n c\u00f3 ph\u1ea7n m\u1ec1m t\u1ed1t nh\u01b0ng ph\u1ea7n c\u1ee9ng (mic \u0111i\u1ec7n tho\u1ea1i) l\u1ea1i kh\u00f4ng chuy\u00ean d\u1ee5ng cho m\u00f4i tr\u01b0\u1eddng \u1ed3n. Tai nghe phi\u00ean d\u1ecbch sinh ra \u0111\u1ec3 l\u1ea5p \u0111\u1ea7y kho\u1ea3ng tr\u1ed1ng \u0111\u00f3, mang l\u1ea1i tr\u1ea3i nghi\u1ec7m giao ti\u1ebfp kh\u00f4ng \u0111\u1ed9 tr\u1ec5. S\u1ef1 ph\u1ed1i h\u1ee3p nh\u1ecbp nh\u00e0ng gi\u1eefa App v\u00e0 thi\u1ebft b\u1ecb ph\u1ea7n c\u1ee9ng l\u00e0 l\u00fd do t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> ch\u00ednh x\u00e1c h\u01a1n so v\u1edbi vi\u1ec7c ch\u1ec9 d\u00f9ng \u0111i\u1ec7n tho\u1ea1i th\u00f4ng th\u01b0\u1eddng.<\/p>\n
L\u00e0 m\u1ed9t ng\u01b0\u1eddi l\u00e0m c\u00f4ng ngh\u1ec7 v\u00e0 kinh doanh thi\u1ebft b\u1ecb n\u00e0y l\u00e2u n\u0103m, t\u00f4i khuy\u00ean b\u1ea1n: H\u00e3y ch\u1ecdn nh\u1eefng thi\u1ebft b\u1ecb c\u00f3 th\u00f4ng s\u1ed1 Micro k\u00e9p (Dual Mic)<\/b> v\u00e0 chip Bluetooth 5.0 tr\u1edf l\u00ean<\/b> \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o “\u0111\u1ea7u v\u00e0o” d\u1eef li\u1ec7u lu\u00f4n s\u1ea1ch nh\u1ea5t cho AI x\u1eed l\u00fd.<\/p>\n
N\u1ebfu c\u00f3 ai \u0111\u00f3 h\u1ecfi b\u1ea1n t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c th\u1ea7n t\u1ed1c nh\u01b0 v\u1eady, h\u00e3y chia s\u1ebb ngay ki\u1ebfn th\u1ee9c v\u1ec1 b\u1ed9 t\u1ee9 c\u00f4ng ngh\u1ec7 ‘Micro – Bluetooth – App – Cloud’ n\u00e0y nh\u00e9.<\/p>\n
Hy v\u1ecdng nh\u1eefng th\u00f4ng tin tr\u00ean \u0111\u00e3 gi\u00fap b\u1ea1n hi\u1ec3u r\u00f5 t\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c<\/b> v\u00e0 t\u1ef1 tin ch\u1ecdn mua s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p.<\/p>\n
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T\u00e1c gi\u1ea3: Tr\u1ea7n Kh\u00e1nh Linh<\/b> \u2013 Founder Lingotrans<\/i> Chuy\u00ean gia t\u01b0 v\u1ea5n gi\u1ea3i ph\u00e1p c\u00f4ng ngh\u1ec7 phi\u00ean d\u1ecbch & thi\u1ebft b\u1ecb giao ti\u1ebfp qu\u1ed1c t\u1ebf.<\/i><\/p>","protected":false},"excerpt":{"rendered":"
T\u1ea1i sao tai nghe c\u00f3 th\u1ec3 phi\u00ean d\u1ecbch \u0111\u01b0\u1ee3c ch\u00ednh x\u00e1c trong m\u00f4i tr\u01b0\u1eddng \u1ed3n \u00e0o? Kh\u00e1m ph\u00e1 ki\u1ebfn tr\u00fac 4 l\u1edbp c\u1ee7a c\u00f4ng ngh\u1ec7 d\u1ecbch thu\u1eadt AI t\u1ed1t h\u01a1n Google \u00a0th\u1eddi gian th\u1ef1c c\u00f9ng Lingotrans. Ch\u00fang ta th\u01b0\u1eddng tr\u1ea7m tr\u1ed3 khi th\u1ea5y m\u1ed9t chi\u1ebfc tai nghe nh\u1ecf x\u00edu c\u00f3 th\u1ec3 gi\u00fap hai ng\u01b0\u1eddi n\u00f3i…<\/p>","protected":false},"author":1,"featured_media":3347,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,116],"tags":[117,33,86],"class_list":["post-3345","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tin-tuc","category-tai-nghe-phien-dich","tag-cong-nghe-ai","tag-lingotrans","tag-tai-nghe-phien-dich"],"_links":{"self":[{"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/posts\/3345","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/comments?post=3345"}],"version-history":[{"count":1,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/posts\/3345\/revisions"}],"predecessor-version":[{"id":3350,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/posts\/3345\/revisions\/3350"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/media\/3347"}],"wp:attachment":[{"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/media?parent=3345"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/categories?post=3345"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lingotrans.com.vn\/zh\/wp-json\/wp\/v2\/tags?post=3345"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}