In this video we will try to understand how to use “Speech Recognition feature of C# “using “System.Speech.Recognition namespace”. The video provides explains how to acquire and monitor speech input, create speech recognition grammars that produce both literal and semantic recognition results, capture information from events generated by the speech recognition and, and configure and manage speech recognition engines.The complete video series of ADO.NET With Examples at..
This tutorial will tell you how to talk to your computer and tell it to do anything, without typing or clicking anything.***SEND ME A TOPIC TO GO OVER AND SUBSCRIBE FOR MORE*** New Video Every Week
Although people have known about the facial recognition technology for some time now, advances in deep learning and faster processing of big data has helped it develop more and more in a short time. The global facial recognition market is growing each and every year. It is being used in different industries such as security, retail, transportation, banking, and much more. Watch our video to learn how this biometric technology works. To get the latest science and technology news, subscribe to our newsletter “The Blueprint” at Learn more at #engineering
Discover how Speechmatics’ Autonomous Speech Recognition opens doors to all voices, making huge forward leaps in terms of diversity, equity, and inclusion.
Meet the Google team who helped create Live Transcribe, a mobile app that generates speech-to-text captions in real time, in over 80 languages. Technological innovations like this have the potential to make communication accessible not only to the deaf and hard of hearing community but also to those who are unable to hear noises temporarily, such as when someone is wearing headphones. Audio-described version of this film: Learn more about this Google innovation story: Subscribe to ATTN: on YouTube: – ATTN: is a media company that breaks down important societal topics and conversations into digestible, entertaining videos and series across all platforms. Check out more videos worth your ATTN: and subscribe to our channels below: Facebook: Instagram: Twitter:
Sam and Emma host Kate Crawford, Research Professor at the University of Southern California Annenberg, to discuss her recent book Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, on our relationship with big tech, and the concept of the AI industry as a continuation of the extractive practices and power dynamics in the workplace that we have been building for centuries. We stream our live show every day at 12 PM ET. We need your help to keep providing free videos! Support the Majority Report’s video content by going to Watch the Majority Report live M–F at 12 p.m. EST at or listen via daily podcast at http://Majority.FM Download our FREE app: SUPPORT the show by becoming a member: We Have Merch!!! LIKE us on Facebook: FOLLOW us on Twitter: SUBSCRIBE to us on YouTube:
Clarifai provides a fantastic service that brings image recognition into any application that connects to the cloud. Matt Zeiler, CEO and founder of Clarifai, talks about their service and explains the concepts of artificial intelligence, machine learning, deep learning and neural networks. A huge thank you to Matt Zeiler for taking the time to chat about all of this very cool tech and for giving us a really nice demo of what Clarifai can do! If you’d like to try it out yourself, head to for more info and to try out some of the public demos yourself! — Dev Diner is a website and channel dedicated to helping developers navigate the world of emerging tech – Virtual & Augmented Reality, Artificial Intelligence, the Internet of Things and more! Discover more about what’s happening and how you can get started at: — A big thank you to Heartbeat Intensity ( as always for providing our wonderful theme music!
Learn to build a Keras model for speech classification. Audio is the field that ignited industry interest in deep learning. Although the data doesn’t look like the images and text we’re used to processing, we can use similar techniques to take short speech sound bites and identify what someone is saying. Follow along with Lukas using the Python scripts here: This is part of a long, free series of tutorials teaching engineers to do deep learning. Leave questions below, and check out more of our class videos: Class Videos: Weights & Biases:
TYPE WITH NO HANDS! To hear what you can say at anytime, say” what can I say.” This will open a link to the Microsoft voice commands reference sheet. Republished video with LOUDER volume: List of Windows 10 Speech Recognition Commands: Lots of examples for speech to text, text editing, and voice navigation in Windows 10. How to configure settings, etc. Dragon Naturally Speaking Alternative. voice to text speech recognition software application voice recognition software application text editing, setup speech for dictation and cortana, official speech recognition tutorial
Look around. We’re surrounded by technology that until recently seemed like it could only exist in the realm of science fiction. The most prominent example? Computers we can talk to. In 2020, it was estimated that there were as many as 4.2 billion voice assistant devices being used worldwide, and that number is expected to reach a whopping 8 billion by 2023. The launch of Google’s voice search in 2011, and Apple’s Siri shortly afterwards, signalled the beginning of a new era for this technology – an era that is now in full swing since Amazon’s Alexa joined the party. But the increased ubiquity and improved computing power of these devices doesn’t mean a free ticket to unlimited progress. There are still significant challenges: understanding natural speech, tackling error rates and earning trust, to name but a few. Learn how voice recognition works – and the challenges it faces – in the latest explainer video from iluli by Mike Lamb. Making sense of technology, one byte at a time. See more at — Sources and Further Reading The machines that learned to listen Digital Voice Assistants in Use to Triple to 8 Billion by 2023, Driven by Smart Home How does speech recognition software work?
Join this channel to get access to perks: Click here to Download our Android APP to have access to 1000’s of Smart Courses covering length and breadth of almost all competitive exams in India. #FacialRecognitionTechnology deployed by #India at Airports & Railway Stations – #RighttoPrivacy UPSC/CSE – This is our Flagship & Most Selling Course. This course covered Length & Breadth of UPSC vast syllabus and made by Elite & Very best faculties from all over India with StudyIQ Trust. Download the app to watch Demo Videos, Course Content, Authors, Etc. SSC & Bank – This is our oldest Course, made by Founders of StudyIQ. 1000+ videos so far and new videos added every week. Download the app to watch Demo Videos, Course Content, Authors, Etc. UPSC Optionals – We have covered almost all major UPSC Optionals. Download the app to watch Demo Videos, Course Content, Authors, Etc. State Exams PSCs – Currently we have 18 States covered, More to come, Choose your state. Download the app to watch Demo Videos, Course Content, Authors, Etc. Defense Exams – CDS, NDA, CAPF, SSB, AFCAT, Airforce. Download the app to watch Demo Videos, Course Content, Authors, Etc. SSC JE Exams – Civil, Mechanical, Electrical, Electronics. Download the app to watch Demo Videos, Course Content, Authors, Etc. RBI Grade B – Grade B is the most popular Job after IAS. This course made by well-experienced faculties of Study IQ. Download the app to watch [More]
The accuracy rate of facial recognition depends on the data its fed. With enough good data, the accuracy rate could be almost perfect. Facial recognition is already being implemented in US airports for security and efficiency. But there are concerns that the US government is creating a digital ID library of millions of Americans without consent.  The US Immigration and Customs Enforcement are also using facial recognition for security reasons. But without clear protections, it could be used as a tool to violate human rights. China is also implementing facial recognition on a bigger scale by giving citizens “social scores” in hopes of helping society become better.  Facial recognition can be used to make tasks automated, convenient, and efficient. But there needs to be regulation and protections in place. MORE UNTANGLED CONTENT: Everything Wrong With Touch Screen Laptops | Untangled Everything Wrong With Windows 10 | Untangled Why Nintendo Is Dominating Video Games | Untangled —————————————————— #FacialRecognition #Data #TechInsider Tech Insider tells you all you need to know about tech: gadgets, how-to’s, gaming, science, digital culture, and more. Subscribe to our channel and visit us at: TI on Facebook: TI on Instagram: TI on Twitter: TI on Amazon Prime: INSIDER on Snapchat: —————————————————— What’s Going On With Facial Recognition? | Untangled
Forbes’s Thomas Brewster wanted to know just how secure facial recognition technology is today and how easy it would be to trick the system. With 3D printed head in hand, it’s a pretty easy feat. Subscribe to FORBES: Stay Connected Forbes on Facebook: Forbes Video on Twitter: Forbes Video on Instagram: More From Forbes: Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success.
With new tools like Clearview AI or PimEyes, facial recognition seems to have become a greater risk to privacy than ever before. That’s why students at the University of Chicago developed the open-source software “Fawkes”. It makes changes to photos on the pixel-level to distort a person’s facial features. Twitter: Subscribe to my channel! Check out more of my videos: » Donate « You want to say “Thank you”? Any amount is appreciated: » Credits « Stock footage provided by Videezy Stock footage provided by Joseph Redfield, Pressmaster, Arvind Balagopal, Anastasia Shuraeva, Carlos Arribas, Kelly Lacy, fauxels, Ricardo Esquivel from Pexels Stock footage provided by Videvo, downloaded from “Hong Kong protests” image by Studio Incendo; Licensed under CC BY 2.0 ( ); No changes were made
#shorts Last year, Detroit police arrested Robert Williams on his front lawn in front of his wife and children. His alleged crime? Face recognition technology had matched his photo from an old driver’s license to an image taken from blurry surveillance footage of a local shoplifting incident. Face recognition technology has been shown time and time again to be biased against people of color and other marginalized groups, who are misidentified at higher rates. When police showed Robert the surveillance image, he said, “I hope you all don’t think all Black people look alike.” #shorts
I had so many requests for how to do this from my 2013 video. I finally threw together an example project. This is a quick and dirty Jarvis application. If you’ve ever seen any of the Iron Man movies you will know what this is. This is a C# application using the .NET framework. Have fun using the code and share what you create with it. Happy coding! Code Project By Sperneder Patrick: My other Jarvis Video (I’m going to move it to this channel): Here is the download link for the C# source:
Afshin Niktash helps you experience the audio recognition capabilities of the MAX78000 in a fun snake game application.
The aim of the project is about the detection of the emotions elicited by the speaker while talking. As an example, speech produced in a state of fear, anger, or joy becomes loud and fast, with a higher and wider range in pitch, whereas emotions such as sadness or tiredness generate slow and low-pitched speech. Detection of human emotions through voice-pattern and speech-pattern analysis has many applications such as better assisting human-machine interactions. In particular, we are presenting a classification model of emotion elicited by speeches based on deep neural networks (CNNs), SVM, MLP Classification based on acoustic features such as Mel Frequency Cepstral Coefficient (MFCC). The model has been trained to classify eight different emotions (neutral, calm, happy, sad, angry, fearful, disgust, surprise). Our evaluation shows that the proposed approach yields accuracies of 86%, 84%, and 82% using CNN, MLP Classifier and SVM Classifiers, respectively, for 8 emotions using Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset and Toronto Emotional Speech Set (TESS) Dataset. Read more: For more detail visit our website===== Follow us on Twitter ===== Flow us on instagram===== Like our Facebook page===== Also subscribe this channel for Technical videos===== Contact us===== Plz like, comment, share, subscribe and don’t forget to press Bell icon for new updates😊
This video contains stepwise implementation for training dataset of “Face Emotion Recognition or Facial Expression Recognition” using Transfer Learning in Tensorflow-Keras API (00:00:00) concepts (00:23:01) installation (00:30:52) implementation (1:15:08) Live Webcame demo
Rep. Alexandria Ocasio-Cortez (AOC) called out tech companies for using facial recognition, designed mostly by and for white men, and selling the data without Americans’ consent. » Subscribe to NowThis: In current events news, Rep. Alexandria Ocasio-Cortez called out tech companies in Silicon Valley in the United States Congress and asked tough questions about facial recognition technology. If you want to see AOC dance, you’ve come to the wrong video. This NowThis News video shows the Democratic party star Ocasio-Cortez interviewing these tech experts about the issues around facial recognition software. She’s also leading on climate change, the Alexandria Ocasio-Cortez Green New Deal has gained a lot of traction and coverage in recent months. #AOC #FacialRecognition #Tech Connect with NowThis » Like us on Facebook: » Tweet us on Twitter: » Follow us on Instagram: » Find us on Snapchat Discover: NowThis is your premier news outlet providing you with all the videos you need to stay up to date on all the latest in trending news. From entertainment to politics, to viral videos and breaking news stories, we’re delivering all you need to know straight to your social feeds. We live where you live. @nowthisnews
This video contains python implementation of Realtime Face Emotion Recognition 1) Brainstorming (background of facial emotion recognition) (i)Challenges in FER 2013 dataset 2) OpenCV for drawing rectangles and overlaying text data 3) Face emotion recognition using DeepFace library 4) Live Video demo using OpenCV + DeepFace for Webcam
Taken from Joe Rogan Experience #1281 w/Tom Papa:
In this video we will be using the Python Face Recognition library to do a few things Sponsor: DevMountain Bootcamp Examples & Docs: 💖 Become a Patron: Show support & get perks! Website & Udemy Courses Follow Traversy Media:
China is the world leader in facial recognition technology. Discover how the country is using it to develop a vast hyper-surveillance system able to monitor and target its ethnic minorities, including the Muslim Uyghur population. Click here to subscribe to The Economist on YouTube: Improving lives, increasing connectivity across the world, that’s the great promise offered by data-driven technology – but in China it also promises greater state control and abuse of power. This is the next groundbreaking development in data-driven technology, facial recognition. And in China you can already withdraw cash, check in at airports, and pay for goods using just your face. The country is the world’s leader in the use of this emerging technology, and China’s many artificial intelligence startups are determined to keep it that way in the future. Companies like Yitu. Yitu is creating the building blocks for a smart city of the future, where facial recognition is part of everyday life. This could even extend to detecting what people are thinking. But the Chinese government has plans to use this new biometric technology to cement its authoritarian rule. The country has ambitious plans to develop a vast national surveillance system based on facial recognition. It’ll be used to monitor it’s 1.4 billion citizens in unprecedented ways. With the capability of tracking everything from their emotions to their sexuality. The primary means will be a vast network of CCTV cameras. 170 million are already in place and an estimated 400 million new ones will [More]
There’s a massive bait-and-switch at the center of facial recognition technology. Join the Open Sourced Reporting Network: Human faces evolved to be highly distinctive; it’s helpful to be able to recognize individual members of one’s social group and quickly identify strangers, and that hasn’t changed for hundreds of thousands of years. Then in just the past five years, the meaning of the human face has quietly but seismically shifted. That’s because researchers at Facebook, Google, and other institutions have nearly perfected techniques for automated facial recognition. The result of that research is that your face isn’t just a unique part of your body anymore, it’s biometric data that can be copied an infinite number of times and stored forever. In this video, we explain how facial recognition technology works, where it came from, and what’s at stake. Open Sourced is a year-long reporting project from Recode by Vox that goes deep into the closed ecosystems of data, privacy, algorithms, and artificial intelligence. Learn more at This project is made possible by the Omidyar Network. All Open Sourced content is editorially independent and produced by our journalists. Watch all episodes of Open Sourced right here on YouTube: Become a part of the Open Sourced Reporting Network and help our reporting. Join here: Sources: “Obscurity and Privacy” “Modern Face Recognition with Deep Learning” “Face Recognition and Privacy in the Age of Augmented Reality” Megapixels “FBI, ICE find state driver’s license photos are a gold [More]