1 00:00:00,000 --> 00:00:02,850 ‫Polly is the opposite of transcribe. 2 00:00:02,850 --> 00:00:06,030 ‫You turn text into speech using deep learning. 3 00:00:06,030 --> 00:00:08,910 ‫This allows you to create applications that will talk. 4 00:00:08,910 --> 00:00:11,190 ‫For example, it says, "Hello, my name is Stephane 5 00:00:11,190 --> 00:00:13,380 ‫and this is a demo of Amazon Polly." 6 00:00:13,380 --> 00:00:15,600 ‫And then, with Polly, it would generate an audio 7 00:00:15,600 --> 00:00:17,280 ‫which I can play right here. 8 00:00:17,280 --> 00:00:19,380 ‫Hi, my name is Stephane 9 00:00:19,380 --> 00:00:22,050 ‫and this is a demo of Amazon Polly. 10 00:00:22,050 --> 00:00:23,760 ‫I think I'm better at speaking than that, 11 00:00:23,760 --> 00:00:26,070 ‫but (chuckles) this gives you a good demo, right? 12 00:00:26,070 --> 00:00:28,950 ‫And you can play with it on the console. 13 00:00:28,950 --> 00:00:33,300 ‫So let's go into the Amazon Polly console and try Polly. 14 00:00:33,300 --> 00:00:37,950 ‫And we can say, "Hi, my name is Stephane. 15 00:00:37,950 --> 00:00:40,470 ‫I love AWS courses, 16 00:00:40,470 --> 00:00:43,680 ‫and I love machine learning." 17 00:00:43,680 --> 00:00:45,880 ‫Okay. And then, you would just press listen. 18 00:00:48,600 --> 00:00:51,570 ‫Hi, my name is Stephane. 19 00:00:51,570 --> 00:00:55,410 ‫I love at AWS courses, and I love machine learning. 20 00:00:55,410 --> 00:00:56,310 ‫Pretty cool, right? 21 00:00:56,310 --> 00:00:58,590 ‫And if you wanted to have a more robot sounding voice, 22 00:00:58,590 --> 00:01:00,960 ‫you would use a standard engine. 23 00:01:00,960 --> 00:01:03,360 ‫Hi, my name is Stephane. 24 00:01:03,360 --> 00:01:07,350 ‫I love AWS courses, and I love machine learning. 25 00:01:07,350 --> 00:01:09,323 ‫And that's it. That's Polly.