text to speech TTS



Found 5343 matches from 1,400 records in about 0.0964 seconds for text or to or speech or TTS.
4051. RT @mayagpatterson Women, especially Black women, who are making career moves in product/UX design, please feel free to reach out to me about salary advice. I don’t know everything but I know a lot more now. And I’ll be transparent with you. DMs are open.
>  18 June 2019, 7:00:42 PM | LINK | Filed in
4052. RT @cruickshank You don't have to have done a PhD field in 20th century German history to know what a concentration camp is. But I did, and yes, what the US government is setting up now for refugees and immigrants are absolutely concentration camps. 1/2
>  18 June 2019, 11:30:22 PM | LINK | Filed in
4053. RT @xeni Chennai, India's 6th largest city, just ran out of water. The 4 main reservoirs are totally dry. boingboing.net/2019/06/18/ind…
>  19 June 2019, 1:00:55 AM | LINK | Filed in
4054. RT @TimKarr The Chinese government tried to take down Telegram at the height of the Hong Kong protests. A dystopian glimpse into the not-so-distant future of political dissent. #netFreedom washingtonpost.com/technology/201…
>  19 June 2019, 8:09:51 AM | LINK | Filed in
4055. RT @OmarSShakir As @hrw Israel Director, I can tell you that Israel is built on a two-tiered discriminatory regime & systematically violates the rights of millions. Yet when asked by @nytimes, Democratic presidential candidates equivocate, fail to give the obvious answer. nytimes.com/interactive/20…
>  19 June 2019, 9:25:14 PM | LINK | Filed in
4056. RT @rachel_shorey The NYT's longest-running data app has been tracking Guantanamo detainees since 2008. I just updated some detainee statuses today: nytimes.com/interactive/pr…
>  19 June 2019, 9:04:05 PM | LINK | Filed in
4057. RT @A_L tfw yr shapefiles are misaligned by 0.001 sq. miles and a billionaire CEO uses the erroneous intersection to get a massive tax break on a new development in Baltimore. propublica.org/article/trump-…
>  19 June 2019, 11:34:52 PM | LINK | Filed in
4058. RT @joygao Why is database table called a “table”? Historically in medieval counting houses, tables were covered with a piece of checkered cloth, to count money owed to the monarch. Thus checkerboard tables of stacks of coins are a concrete realization of this information 🤯
>  20 June 2019, 9:58:26 AM | LINK | Filed in
4059. RT @nielstenoever Talking this morning with the international Cities Coalition for Digital Rights about Human Rights Impact Assessments of digital technology. Clearly local governance is far ahead of international governance were it comes to human rights. citiesfordigitalrights.org #humanrights
>  20 June 2019, 9:35:49 AM | LINK | Filed in
4060. RT @RPearshouse Cool overview of PAWS, predictive AI software that crunches data and leverages machine learning to suggest the most effective patrol routes against illicit hunting + logging phys.org/news/2019-06-a…
>  20 June 2019, 12:06:39 PM | LINK | Filed in



page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535

[ Back ] [ Next ]