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Natural Language Processing: Crash Course Computer Science #36

Natural Language Processing: Crash Course Computer Science #36

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Rating: 4.0; Vote: 1
Today we-re going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has been an growing demand for voice user interfaces, but speech is also terribly complicated. Vocabularies are diverse, sentence structures can often dictate the meaning of certain words, and computers also have to deal with accents, mispronunciations, and many common linguistic faux pas. The field of Natural Language Processing, or NLP, attempts to solve these problems, with a number of techniques we-ll discuss today. And even though our virtual assistants like Siri, Alexa, Google Home, Bixby, and Cortana have come a long way from the first speech processing and synthesis models, there is still much room for improvement
Date: 2022-04-04

Comments and reviews: 10


What bothers me about those -speech recognizers- is. Most of the time we humans don't say things like -I am going to. -. But talk more like this -Am goingto- (yes, I exaggerated a bit. So, we combine two words, because you talk faster. Or we even skip words. But the computer is programmed to recognize each word individually. Which isn't the way humans naturally speak.
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Do you, as AI makers, identify as humans because I can see it benefiting humanity trickling down from the AI-creator elites getting max power but once you've fully quantized a human, reproduced one, and surpassed one. why would you care about a biological one, or is 'human' obsolete and to survive we MUST augment to AI then full upload to the AI-net?
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It's just crazy how much of the development of computers was helped by government. Kinda destroys the whole right wing argument about how it's only capitalism that makes a change in technology. And also, these videos are co-produced PBS, funded by the American government. If you learnt something, thank the US, I guess.
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I am a linguist but I know nothing about computer science and NLP but I am interested to get a job in this field. Do you have any recommendations on how can I start my learning? What should I study to become more attractive towards employers?
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Why are you talking so fast to the point it's hard to understand, people view tutorials because they have little to no knowledge of the given topic, yet you talk like your audiences are expert of the topic: (
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If you still have a Windows XP computer, or if you have access to Microsoft Sam (the voice of Narrator in Windows XP, replace the sample text with -soy- or -soi-, and you'll hear a strange sound.
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I am PG Students from India Linguistics, but I studied General Linguistics in master degree, can anybody guide me self learning Computational Linguistics course available? Pls.
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I wonder if there are some academic papers that introducing these concepts? I hope wish I can find good citation for my dissertation, thank you!
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The best part of this video is when she spoke in Shakespearean to Siri. Who here can also fluently speak this language? I know I can.
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Many complain about your speech being to fast, but I have to kindly disagree.
It was all perfect, fast enough and smoothly cut.

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