• How to Make a Simple Tensorflow Speech Recognizer

    In this video, we'll make a super simple speech recognizer in 20 lines of Python using the Tensorflow machine learning library. I go over the history of speech recognition research, then explain (and rap about) how we can build our own speech recognition system using the power of deep learning. The code for this video is here: https://github.com/llSourcell/tensorflow_speech_recognition_demo Mick's winning code: https://github.com/mickvanhulst/tf_chatbot_lotr The weekly challenge can be found at the end of the 'Make a Game Bot' video: https://www.youtube.com/watch?v=mGYU5t8MO7s More learning resources: https://www.superlectures.com/iscslp2014/tutorial-4-deep-learning-for-speech-generation-and-synthesis http://andrew.gibiansky.com/blog/machine-learning/speech-recognition-neural-networks/...

    published: 09 Dec 2016
  • Sound Recognizer App

    Sound Recognizer - app quickly designed for google Android experiments. https://www.androidexperiments.com/challenge Code available at: https://github.com/Kayohi/SoundRecognizer Android 4.4

    published: 12 Apr 2016
  • Simple Voice Biometric[Speaker Recognition] in Matlab from Basics

    Download Link:http://www.integratedideas.co.in/?download=simple-voice-biometric-speaker-recognition-code-in-matlab {Note: Sorry for distorted audio in some parts of the video due to audio sharing between matlab and the screencast software) The System is extremely simple and based on dominating frequency ( pitch detection). You should use this tutorial to learn designing voice recognition. Must not be used for Production level Biometric.

    published: 29 Sep 2016
  • A.I. Experiments: Bird Sounds

    Check out https://g.co/aiexperiments to learn more. Bird sounds vary widely. This experiment uses machine learning to organize thousands of bird sounds. The computer wasn’t given tags or the birds’ names – only the audio. Using a technique called t-SNE, the computer created this map, where similar sounds are placed closer together. http://g.co/aiexperiments Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks to Cornell Lab of Ornithology for their support. The sounds are available in the Macaulay Library’s Essential Set for North America. t-SNE animation featured in video by Gene Kogan. More resources: https://github.com/lvdmaaten/bhtsne http://www.birds.cornell.edu http://macaulaylibrary.org http://ml4a.github.io

    published: 15 Nov 2016
  • Recognizing a Million Voices: Low Dimensional Audio Representations for Speaker Identification

    Recent advances in speaker verification technology have resulted in dramatic performance improvements in both speed and accuracy. Over the past few years, error rates have decreased by a factor of 5 or more. At the same time, the new techniques have resulted in massive speed-ups, which have increased the scale of viable speaker-id systems by several orders of magnitude. These improvements stem from a recent shift in the speaker modeling paradigm. Only a few years ago, the model for each individual speaker was trained using data from only that particular speaker. Now, we make use of large speaker-labeled databases to learn distributions describing inter- and intra-speaker variability. This allow us to reveal the speech characteristics that are important for discriminating between speakers....

    published: 17 Aug 2016
  • Music/Sound Recognition -- Matlab-Simulink-Arduino

    Real time spectral pattern recogonition in simulink. http://willforfang.com/

    published: 26 Jul 2013
  • Voice Recognition As Fast As Possible

    Voice recognition, after years of clunky performance, has finally started seeing widespread adoption. How have improvements made it so popular? Squarespace link: Visit http://squarespace.com/linus and use offer code LINUS to save 10% off your first order. Follow: http://twitter.com/linustech Join the community: http://linustechtips.com

    published: 06 Oct 2015
  • ROAR - ROS OpenSource Audio Recognizer Demonstration Video

    Video submitted to ICRA 2012 along with paper to show the capabilities of our new audio detection toolkit for learning and recognizing environmental sounds in real-time with robots.

    published: 15 Sep 2011
  • For Akia - Recognizer

    Music video by For Akia performing Recognizer. (C) 2015 Sony Music Entertainment Denmark A/S http://vevo.ly/ikLQHF

    published: 06 Jul 2015
  • Basic Sound Processing in Python | SciPy 2015 | Allen Downey

    published: 08 Jul 2015
  • X & 0 - with Audio and Video Recognizer

    C# by Jubo Phalelashvili

    published: 04 Jul 2015
  • Pocket Audio Gesture Recognizer (PAGeR) Prototype

    Final project for Mobile HCI, Spring 2012 at Columbia University. This prototype was designed to analyze the audio input from a microphone, and classify them as distinct gestures. By: Abraham Tseng, Ziheng Zhou, Mo Lin

    published: 10 May 2012
  • How To Find Any Songs Name (+ 2M Face Reveal)

    In this life-changing video, I will tell you how to find the name of ANY SONG EVER ...... (that you can accurately make out the lyrics to, and is popular enough to have had its lyrics written up :/ ). And face reveal too. I've had messages in the past asking me "oi mate, is this you?" and they've been right lol, but I thought I'd finally show my face, cus it's annoying and kinda unhealthy how much some people seem to care. So here, have a look and get past the curiosity :p SUBSCRIBE TO MY 2ND CHANNEL: https://www.youtube.com/channel/UCPip... I need one just in case my channel ever fucks off due to some bullshit copyright strike or something. Not got ANYTHING UP there yet, but it's there as a precaution. Support me on Patreon if you want. That would be cool. https://www.patreon.com/Gr...

    published: 15 May 2016
  • Cameron Macleod - Implementing a Sound Identifier in Python

    Cameron Macleod - Implementing a Sound Identifier in Python [EuroPython 2016] [18 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/implementing-a-sound-identifier-in-python) The talk will go over implementing a Shazam-style sound recogniser using DSP techniques and some fantastic libraries. It will cover implementation, challenges and further steps. The project is still a work in progress and the code is [available on GitHub][1]. It was inspired by the [Over-the-Air Audio Identification talk][2] at FOSDEM 2016. [1]: https://github.com/notexactlyawe/abracadabra [2]: https://fosdem.org/2016/schedule/event/audio_identification/ ----- The talk will go over the journey of implementing a Shazam-style sound recogniser using DSP techniques and some fantastic ...

    published: 28 Jul 2016
  • Tron: Recognizer Sound FX (1982)

    published: 16 Jun 2015
  • Daft Punk- Recognizer (Astronaut Cult Club Edit)

    Follow me! http://twitter.com/astronaut_cult I thought I'd spice up this song with a few beats 'n stuff. I thought this particular piece would sound awesome faster, so here it is: a "club" remix. DL: http://www.4shared.com/audio/XqWniFFR/Recognizer__Club_Edit_.html

    published: 16 Dec 2010
  • Neural Network Tries to Generate English Speech (RNN/LSTM)

    By popular demand, I threw my own voice into a neural network (3 times) and got it to recreate what it had learned along the way! This is 3 different recurrent neural networks (LSTM type) trying to find patterns in raw audio and reproduce them as well as they can. The networks are quite small considering the complexity of the data. I recorded 3 different vocal sessions as training data for the network, trying to get more impressive results out of the network each time. The audio is 8-bit and a low sample rate because sound files get very big very quickly, making the training of the network take a very long time. Well over 300 hours of training in total went into the experiments with my voice that led to this video. The graphs are created from log files made during training, and show the...

    published: 24 Dec 2016
  • Speech recognition Tutorial for Unity3D 5

    ►About the video◄ Unity3D Speech recognition with KeywordRecognizer and Microsoft.Speech tutorial. NOTE: this only works on windows 10 O.S! Check out my Greenlight game (made with unity) ►http://tinyurl.com/hrwxww7 ►Support RikuTheFuffs◄ If you liked the video, and if you want to thank me, you can support me at: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=SDERNAC82GFAG

    published: 24 Jul 2016
  • How to: Arduino Voice / Speech Recognition with Geeetech Module [Tutorial]

    How to: Arduino Voice / Speech Recognition with Geeetech Module [Tutorial]. This video will show you how to talk with your Arduino with the (cheap) Geeetech voice control module. You can then use the code to control a motor or make voice controlled lights. There are a few videos that demonstrate the same thing, however they use a windows machine with Accessport, here I have used CoolTerm on a Mac to send Hex commands to the TTL module. Code and parts links can be found here: http://www.wirebeings.com/voice.html

    published: 29 Jan 2016
  • Audio Fingerprinting and Recognition

    Audio Fingerprinting and Recognition Music/Audio Recognition Application written in C++. * Robust Audio Recognition * High Accuracy: 98% Accuracycy of 5 seconds song cut in 100 songs list. * High efficiency: recognize in less than 0.1 second per song. * Memory reduction: 4G is enough for 10000 songs. * Data Structure: support 2,500,000 songs and each song less than 7 minutes. * More feature: return the TIME POINT of the cut song in original song. Source Code: https://github.com/jh-yu/audio_recognition

    published: 07 Mar 2015
  • NVIDIA and Intelligent Voice Speech to Text Recognition Using Deep Learning and GPUs

    Intelligent Voice, a global leader in speech-to-text technology, incorporates GPUs to collect, process, review and analyze audio so users can work from a single interface. ECS: https://www.youtube.com/playlist?list=PLZHnYvH1qtOY5XPITwy3w7djkJe0MHMpq Intelligent Voice was a top tech startup in the 2016 Emerging Companies Summit (ECS). See how companies are revolutionizing robotics, AI, big data, VR, and more with the power of GPUs at ECS. Intelligent Voice: www.intelligentvoice.com

    published: 10 Jun 2016
  • Daft Punk (Tron) - Recognizer (Audio Video)

    Daft Punk (Tron) - Recognizer (Audio Video) lso visit them google + of my channel D.L.G.A. https://plus.google.com/u/0/117459218751697259068 Subscribe to my channel thanks I hope you like it!

    published: 09 Sep 2017
  • Synthesizing Obama: Learning Lip Sync from Audio

    Synthesizing Obama: Learning Lip Sync from Audio Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman SIGGRAPH 2017 Given audio of President Barack Obama, we synthesize a high quality video of him speaking with accurate lip sync, composited into a target video clip. Trained on many hours of his weekly address footage, a recurrent neural network learns the mapping from raw audio features to mouth shapes. Given the mouth shape at each time instant, we synthesize high quality mouth texture, and composite it with proper 3D pose matching to change what he appears to be saying in a target video to match the input audio track http://grail.cs.washington.edu/projects/AudioToObama/

    published: 12 Jul 2017
  • How to Talk with Arduino Board | Voice Recognition Module | Record your Voice

    In this tutorial we will learn how to talk with the Arduino Board. For this we will use the Voice Control Module. So, we can use this module to control motors, lights and robots.Also, we will use software for record our voice commands. I used the Access Port Software for send HEX commands from Windows to the USB module. MAC users can use the CoolTerm Software for the record commands. Required Hardware: Arduino Uno R3 -- https://goo.gl/Rqc5w2 Voice Module -- https://goo.gl/J18ChT USB to TTL Module -- https://goo.gl/hRsKP0 Servo Motor -- https://goo.gl/jQJZlG LED -- https://goo.gl/CPAXXf Jump Wires -- https://goo.gl/n5ljN3 ---------------------------------------------------------------- Software for Voice Recognition Module: Access Port for Windows - https://goo.gl/58BBMG CoolTerm for MAC ...

    published: 07 Jul 2017
developed with YouTube
How to Make a Simple Tensorflow Speech Recognizer
7:41

How to Make a Simple Tensorflow Speech Recognizer

  • Order:
  • Duration: 7:41
  • Updated: 09 Dec 2016
  • views: 122720
videos
In this video, we'll make a super simple speech recognizer in 20 lines of Python using the Tensorflow machine learning library. I go over the history of speech recognition research, then explain (and rap about) how we can build our own speech recognition system using the power of deep learning. The code for this video is here: https://github.com/llSourcell/tensorflow_speech_recognition_demo Mick's winning code: https://github.com/mickvanhulst/tf_chatbot_lotr The weekly challenge can be found at the end of the 'Make a Game Bot' video: https://www.youtube.com/watch?v=mGYU5t8MO7s More learning resources: https://www.superlectures.com/iscslp2014/tutorial-4-deep-learning-for-speech-generation-and-synthesis http://andrew.gibiansky.com/blog/machine-learning/speech-recognition-neural-networks/ https://www.youtube.com/watch?v=LFDU2GX4AqM https://www.youtube.com/watch?v=g-sndkf7mCs Please subscribe! And like and comment. That's what keeps me going. And please support me on Patreon! I don't work for anyone, although I did make a one-off video for OpenAI because I love them: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
https://wn.com/How_To_Make_A_Simple_Tensorflow_Speech_Recognizer
Sound Recognizer App
2:17

Sound Recognizer App

  • Order:
  • Duration: 2:17
  • Updated: 12 Apr 2016
  • views: 764
videos
Sound Recognizer - app quickly designed for google Android experiments. https://www.androidexperiments.com/challenge Code available at: https://github.com/Kayohi/SoundRecognizer Android 4.4
https://wn.com/Sound_Recognizer_App
Simple Voice Biometric[Speaker Recognition] in Matlab from Basics
46:58

Simple Voice Biometric[Speaker Recognition] in Matlab from Basics

  • Order:
  • Duration: 46:58
  • Updated: 29 Sep 2016
  • views: 16266
videos
Download Link:http://www.integratedideas.co.in/?download=simple-voice-biometric-speaker-recognition-code-in-matlab {Note: Sorry for distorted audio in some parts of the video due to audio sharing between matlab and the screencast software) The System is extremely simple and based on dominating frequency ( pitch detection). You should use this tutorial to learn designing voice recognition. Must not be used for Production level Biometric.
https://wn.com/Simple_Voice_Biometric_Speaker_Recognition_In_Matlab_From_Basics
A.I. Experiments: Bird Sounds
2:41

A.I. Experiments: Bird Sounds

  • Order:
  • Duration: 2:41
  • Updated: 15 Nov 2016
  • views: 47555
videos
Check out https://g.co/aiexperiments to learn more. Bird sounds vary widely. This experiment uses machine learning to organize thousands of bird sounds. The computer wasn’t given tags or the birds’ names – only the audio. Using a technique called t-SNE, the computer created this map, where similar sounds are placed closer together. http://g.co/aiexperiments Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks to Cornell Lab of Ornithology for their support. The sounds are available in the Macaulay Library’s Essential Set for North America. t-SNE animation featured in video by Gene Kogan. More resources: https://github.com/lvdmaaten/bhtsne http://www.birds.cornell.edu http://macaulaylibrary.org http://ml4a.github.io
https://wn.com/A.I._Experiments_Bird_Sounds
Recognizing a Million Voices: Low Dimensional Audio Representations for Speaker Identification
1:51:22

Recognizing a Million Voices: Low Dimensional Audio Representations for Speaker Identification

  • Order:
  • Duration: 1:51:22
  • Updated: 17 Aug 2016
  • views: 1903
videos
Recent advances in speaker verification technology have resulted in dramatic performance improvements in both speed and accuracy. Over the past few years, error rates have decreased by a factor of 5 or more. At the same time, the new techniques have resulted in massive speed-ups, which have increased the scale of viable speaker-id systems by several orders of magnitude. These improvements stem from a recent shift in the speaker modeling paradigm. Only a few years ago, the model for each individual speaker was trained using data from only that particular speaker. Now, we make use of large speaker-labeled databases to learn distributions describing inter- and intra-speaker variability. This allow us to reveal the speech characteristics that are important for discriminating between speakers. During the 2008 JHU summer workshop, our team has found that speech utterances can be encoded into low dimensional fixed-length vectors that preserve information about speaker identity. This concept of so-called 'i-vectors', which now forms the basis of state-of-the-art systems, enabled new machine learning approaches to be applied to the speaker identification problem. Inter- and intra-speaker variability can now be easily modeled using Bayesian approaches, which leads to superior performance. A new training strategies can now benefit form the simpler statistical model form and the inherent speed-up. In our most recent work, we have retrained the hyperparameters of our Bayesian model using a discriminative objective function that directly addresses the task in speaker verification: discrimination between same-speaker and different-speaker trials. This is the first time such discriminative training has been successfully applied to speaker verification task.
https://wn.com/Recognizing_A_Million_Voices_Low_Dimensional_Audio_Representations_For_Speaker_Identification
Music/Sound Recognition -- Matlab-Simulink-Arduino
1:38

Music/Sound Recognition -- Matlab-Simulink-Arduino

  • Order:
  • Duration: 1:38
  • Updated: 26 Jul 2013
  • views: 6524
videos
Real time spectral pattern recogonition in simulink. http://willforfang.com/
https://wn.com/Music_Sound_Recognition_Matlab_Simulink_Arduino
Voice Recognition As Fast As Possible
5:25

Voice Recognition As Fast As Possible

  • Order:
  • Duration: 5:25
  • Updated: 06 Oct 2015
  • views: 194597
videos
Voice recognition, after years of clunky performance, has finally started seeing widespread adoption. How have improvements made it so popular? Squarespace link: Visit http://squarespace.com/linus and use offer code LINUS to save 10% off your first order. Follow: http://twitter.com/linustech Join the community: http://linustechtips.com
https://wn.com/Voice_Recognition_As_Fast_As_Possible
ROAR - ROS OpenSource Audio Recognizer Demonstration Video
3:03

ROAR - ROS OpenSource Audio Recognizer Demonstration Video

  • Order:
  • Duration: 3:03
  • Updated: 15 Sep 2011
  • views: 908
videos
Video submitted to ICRA 2012 along with paper to show the capabilities of our new audio detection toolkit for learning and recognizing environmental sounds in real-time with robots.
https://wn.com/Roar_Ros_Opensource_Audio_Recognizer_Demonstration_Video
For Akia - Recognizer
3:22

For Akia - Recognizer

  • Order:
  • Duration: 3:22
  • Updated: 06 Jul 2015
  • views: 16148
videos
Music video by For Akia performing Recognizer. (C) 2015 Sony Music Entertainment Denmark A/S http://vevo.ly/ikLQHF
https://wn.com/For_Akia_Recognizer
Basic Sound Processing in Python | SciPy 2015 | Allen Downey
18:59

Basic Sound Processing in Python | SciPy 2015 | Allen Downey

  • Order:
  • Duration: 18:59
  • Updated: 08 Jul 2015
  • views: 59516
videos
https://wn.com/Basic_Sound_Processing_In_Python_|_Scipy_2015_|_Allen_Downey
X & 0 - with Audio and Video Recognizer
2:21

X & 0 - with Audio and Video Recognizer

  • Order:
  • Duration: 2:21
  • Updated: 04 Jul 2015
  • views: 62
videos
C# by Jubo Phalelashvili
https://wn.com/X_0_With_Audio_And_Video_Recognizer
Pocket Audio Gesture Recognizer (PAGeR) Prototype
1:12

Pocket Audio Gesture Recognizer (PAGeR) Prototype

  • Order:
  • Duration: 1:12
  • Updated: 10 May 2012
  • views: 157
videos
Final project for Mobile HCI, Spring 2012 at Columbia University. This prototype was designed to analyze the audio input from a microphone, and classify them as distinct gestures. By: Abraham Tseng, Ziheng Zhou, Mo Lin
https://wn.com/Pocket_Audio_Gesture_Recognizer_(Pager)_Prototype
How To Find Any Songs Name (+ 2M Face Reveal)
4:47

How To Find Any Songs Name (+ 2M Face Reveal)

  • Order:
  • Duration: 4:47
  • Updated: 15 May 2016
  • views: 5899383
videos
In this life-changing video, I will tell you how to find the name of ANY SONG EVER ...... (that you can accurately make out the lyrics to, and is popular enough to have had its lyrics written up :/ ). And face reveal too. I've had messages in the past asking me "oi mate, is this you?" and they've been right lol, but I thought I'd finally show my face, cus it's annoying and kinda unhealthy how much some people seem to care. So here, have a look and get past the curiosity :p SUBSCRIBE TO MY 2ND CHANNEL: https://www.youtube.com/channel/UCPip... I need one just in case my channel ever fucks off due to some bullshit copyright strike or something. Not got ANYTHING UP there yet, but it's there as a precaution. Support me on Patreon if you want. That would be cool. https://www.patreon.com/GradeAUnderA Also, here are some of my links, follow me on them if you want. Twitch: http://www.twitch.tv/gradeaundera Twitter: http://www.twitter.com/gradeaundera Facebook: http://www.facebook.com/gradeaundera Steam: GradeAUnderA Reddit username: GradeAUnderA Mother's Maiden Name: GradeAUnderA Instagram: OfficialGradeAUnderA Snapchat: officialgaua - My current phone can't handle Snapchat btw Much love to my Patreon supporters, man. The following people need to help me find all the songs in my past songs, cus a few people have asked in the past, and I can't be arsed to man: Sovve, Andy, Simple Basics, Jack-SF, Bill R, Tom L, Kevin R, Prithvi S, Vee T, Corey D, TiraGenocide, Connor A and Bryan B.
https://wn.com/How_To_Find_Any_Songs_Name_(_2M_Face_Reveal)
Cameron Macleod - Implementing a Sound Identifier in Python
21:54

Cameron Macleod - Implementing a Sound Identifier in Python

  • Order:
  • Duration: 21:54
  • Updated: 28 Jul 2016
  • views: 1154
videos
Cameron Macleod - Implementing a Sound Identifier in Python [EuroPython 2016] [18 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/implementing-a-sound-identifier-in-python) The talk will go over implementing a Shazam-style sound recogniser using DSP techniques and some fantastic libraries. It will cover implementation, challenges and further steps. The project is still a work in progress and the code is [available on GitHub][1]. It was inspired by the [Over-the-Air Audio Identification talk][2] at FOSDEM 2016. [1]: https://github.com/notexactlyawe/abracadabra [2]: https://fosdem.org/2016/schedule/event/audio_identification/ ----- The talk will go over the journey of implementing a Shazam-style sound recogniser using DSP techniques and some fantastic libraries. It will cover implementation, challenges and further steps. The project is still a work in progress at the time of proposal and the code is [available on GitHub][1]. It was inspired by the [Over-the-Air Audio Identification talk][2] at FOSDEM 2016. The basic structure of the project consists a classifier that fingerprints audio and stores it in a searchable form and a recogniser that fingerprints a smaller chunk of audio and then searches the stored records to find the most suitable fit for it. The recogniser will be exposed as an API to allow for different front-ends. I will aim to introduce both the field of DSP and concepts behind applications like Shazam in a simple easy-to-understand manner. The audience will not need any prior experience in anything except Python. [1]: https://github.com/notexactlyawe/abracadabra [2]: https://fosdem.org/2016/schedule/event/audio_identification/
https://wn.com/Cameron_Macleod_Implementing_A_Sound_Identifier_In_Python
Tron: Recognizer Sound FX (1982)
1:15

Tron: Recognizer Sound FX (1982)

  • Order:
  • Duration: 1:15
  • Updated: 16 Jun 2015
  • views: 3489
videos
https://wn.com/Tron_Recognizer_Sound_Fx_(1982)
Daft Punk- Recognizer (Astronaut Cult Club Edit)
4:24

Daft Punk- Recognizer (Astronaut Cult Club Edit)

  • Order:
  • Duration: 4:24
  • Updated: 16 Dec 2010
  • views: 90224
videos
Follow me! http://twitter.com/astronaut_cult I thought I'd spice up this song with a few beats 'n stuff. I thought this particular piece would sound awesome faster, so here it is: a "club" remix. DL: http://www.4shared.com/audio/XqWniFFR/Recognizer__Club_Edit_.html
https://wn.com/Daft_Punk_Recognizer_(Astronaut_Cult_Club_Edit)
Neural Network Tries to Generate English Speech (RNN/LSTM)
13:41

Neural Network Tries to Generate English Speech (RNN/LSTM)

  • Order:
  • Duration: 13:41
  • Updated: 24 Dec 2016
  • views: 808656
videos
By popular demand, I threw my own voice into a neural network (3 times) and got it to recreate what it had learned along the way! This is 3 different recurrent neural networks (LSTM type) trying to find patterns in raw audio and reproduce them as well as they can. The networks are quite small considering the complexity of the data. I recorded 3 different vocal sessions as training data for the network, trying to get more impressive results out of the network each time. The audio is 8-bit and a low sample rate because sound files get very big very quickly, making the training of the network take a very long time. Well over 300 hours of training in total went into the experiments with my voice that led to this video. The graphs are created from log files made during training, and show the progress that it was making leading up to immediately before the audio that you hear at every point in the video. Their scrolling speeds up at points where I only show a short sample of the sound, because I wanted to dedicated more time to the more impressive parts. I included a lot of information in the video itself where it's relevant (and at the end), especially details about each of the 3 neural networks at the beginning of each of the 3 sections, so please be sure to check that if you'd like more details. I'm less happy with the results this time around than in my last RNN+voice video (https://www.youtube.com/watch?v=FsVSZpoUdSU), because I've experimented much less with my own voice than I have with higher-pitched voices from various games and haven't found the ideal combination of settings yet. That's because I don't really want to hear the sound of my own voice, but so many people commented on my old video that they wanted to hear a neural network trained on a male English voice, so here we are now! Also, learning from a low-pitched voice is not as easy as with a high-pitched voice, for reasons explained in the first part of the video (basically, the most fundamental patterns are longer with a low-pitched voice). The neural network software is the open-source "torch-rnn" (https://github.com/jcjohnson/torch-rnn/), although that is only designed to learn from plain text. Frankly, I'm still amazed at what a good job it does of learning from raw audio, with many overlapping patterns over longer timeframes than text. I made a program(*) that substitutes raw bytes in any file (e.g. audio) for valid UTF-8 text characters and torch-rnn happily learned from it. My program also substituted torch-rnn's generated text back into raw bytes to get audio again. I do not understand the mathematics and low-level algorithms that go make a neural network work, and I cannot program my own, so please check the code and .md files at torch-rnn's Github page for details. Also, torch-rnn is actually a more-efficient fork of an earlier software called char-rnn (https://github.com/karpathy/char-rnn), whose project page also has a lot of useful information. I will probably soon release the program that I wrote to create the line graphs from CSV files. It can make images up to 16383 pixels wide/tall with customisable colours, from CSV files with hundreds of thousands of lines, in a few seconds. All free software I could find failed hideously at this (e.g. OpenOffice Calc took over a minute to refresh the screen with only a fraction of that many lines, during which time it stopped responding; the lines overlapped in an ugly way that meant you couldn't even see the average value; and "exporting" graphs is limited to pressing Print Screen, so you're limited to the width of your screen... really?). (*)Here is the code rewritten from VB6 in a C++-like pseudocode: http://robbi-985.homeip.net/information/bintoutf8_pseudo.txt Also, here is an English explanation of the idea behind how it works: http://robbi-985.homeip.net/information/bintoutf8_info.txt EDIT: I have released my BinToUTF8 program to the public! Please have a look here: http://robbi-985.homeip.net/blog/?p=1845
https://wn.com/Neural_Network_Tries_To_Generate_English_Speech_(Rnn_Lstm)
Speech recognition Tutorial for Unity3D 5
9:23

Speech recognition Tutorial for Unity3D 5

  • Order:
  • Duration: 9:23
  • Updated: 24 Jul 2016
  • views: 26626
videos
►About the video◄ Unity3D Speech recognition with KeywordRecognizer and Microsoft.Speech tutorial. NOTE: this only works on windows 10 O.S! Check out my Greenlight game (made with unity) ►http://tinyurl.com/hrwxww7 ►Support RikuTheFuffs◄ If you liked the video, and if you want to thank me, you can support me at: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=SDERNAC82GFAG
https://wn.com/Speech_Recognition_Tutorial_For_Unity3D_5
How to: Arduino Voice / Speech Recognition with Geeetech Module [Tutorial]
7:59

How to: Arduino Voice / Speech Recognition with Geeetech Module [Tutorial]

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  • Duration: 7:59
  • Updated: 29 Jan 2016
  • views: 80734
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How to: Arduino Voice / Speech Recognition with Geeetech Module [Tutorial]. This video will show you how to talk with your Arduino with the (cheap) Geeetech voice control module. You can then use the code to control a motor or make voice controlled lights. There are a few videos that demonstrate the same thing, however they use a windows machine with Accessport, here I have used CoolTerm on a Mac to send Hex commands to the TTL module. Code and parts links can be found here: http://www.wirebeings.com/voice.html
https://wn.com/How_To_Arduino_Voice_Speech_Recognition_With_Geeetech_Module_Tutorial
Audio Fingerprinting and Recognition
3:13

Audio Fingerprinting and Recognition

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  • Duration: 3:13
  • Updated: 07 Mar 2015
  • views: 6399
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Audio Fingerprinting and Recognition Music/Audio Recognition Application written in C++. * Robust Audio Recognition * High Accuracy: 98% Accuracycy of 5 seconds song cut in 100 songs list. * High efficiency: recognize in less than 0.1 second per song. * Memory reduction: 4G is enough for 10000 songs. * Data Structure: support 2,500,000 songs and each song less than 7 minutes. * More feature: return the TIME POINT of the cut song in original song. Source Code: https://github.com/jh-yu/audio_recognition
https://wn.com/Audio_Fingerprinting_And_Recognition
NVIDIA and Intelligent Voice Speech to Text Recognition Using Deep Learning and GPUs
2:36

NVIDIA and Intelligent Voice Speech to Text Recognition Using Deep Learning and GPUs

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  • Duration: 2:36
  • Updated: 10 Jun 2016
  • views: 10452
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Intelligent Voice, a global leader in speech-to-text technology, incorporates GPUs to collect, process, review and analyze audio so users can work from a single interface. ECS: https://www.youtube.com/playlist?list=PLZHnYvH1qtOY5XPITwy3w7djkJe0MHMpq Intelligent Voice was a top tech startup in the 2016 Emerging Companies Summit (ECS). See how companies are revolutionizing robotics, AI, big data, VR, and more with the power of GPUs at ECS. Intelligent Voice: www.intelligentvoice.com
https://wn.com/Nvidia_And_Intelligent_Voice_Speech_To_Text_Recognition_Using_Deep_Learning_And_Gpus
Daft Punk (Tron) - Recognizer (Audio Video)
2:39

Daft Punk (Tron) - Recognizer (Audio Video)

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  • Duration: 2:39
  • Updated: 09 Sep 2017
  • views: 26
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Daft Punk (Tron) - Recognizer (Audio Video) lso visit them google + of my channel D.L.G.A. https://plus.google.com/u/0/117459218751697259068 Subscribe to my channel thanks I hope you like it!
https://wn.com/Daft_Punk_(Tron)_Recognizer_(Audio_Video)
Synthesizing Obama: Learning Lip Sync from Audio
8:01

Synthesizing Obama: Learning Lip Sync from Audio

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  • Duration: 8:01
  • Updated: 12 Jul 2017
  • views: 883105
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Synthesizing Obama: Learning Lip Sync from Audio Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman SIGGRAPH 2017 Given audio of President Barack Obama, we synthesize a high quality video of him speaking with accurate lip sync, composited into a target video clip. Trained on many hours of his weekly address footage, a recurrent neural network learns the mapping from raw audio features to mouth shapes. Given the mouth shape at each time instant, we synthesize high quality mouth texture, and composite it with proper 3D pose matching to change what he appears to be saying in a target video to match the input audio track http://grail.cs.washington.edu/projects/AudioToObama/
https://wn.com/Synthesizing_Obama_Learning_Lip_Sync_From_Audio
How to Talk with Arduino Board | Voice Recognition Module | Record your Voice
10:09

How to Talk with Arduino Board | Voice Recognition Module | Record your Voice

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  • Duration: 10:09
  • Updated: 07 Jul 2017
  • views: 100634
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In this tutorial we will learn how to talk with the Arduino Board. For this we will use the Voice Control Module. So, we can use this module to control motors, lights and robots.Also, we will use software for record our voice commands. I used the Access Port Software for send HEX commands from Windows to the USB module. MAC users can use the CoolTerm Software for the record commands. Required Hardware: Arduino Uno R3 -- https://goo.gl/Rqc5w2 Voice Module -- https://goo.gl/J18ChT USB to TTL Module -- https://goo.gl/hRsKP0 Servo Motor -- https://goo.gl/jQJZlG LED -- https://goo.gl/CPAXXf Jump Wires -- https://goo.gl/n5ljN3 ---------------------------------------------------------------- Software for Voice Recognition Module: Access Port for Windows - https://goo.gl/58BBMG CoolTerm for MAC - https://goo.gl/uMPFWS Source Code -- https://goo.gl/LvG8No Free Subscribe for Support -- http://bit.ly/MertArduino ----------------------------------------------------------------- Arduino Starter Kit and Supplies: Banggood: Arduino Supplies -- http://bit.ly/compatibleSupplies Arduino Uno Starter Kit -- http://bit.ly/UnoStarterKit GearBest: Arduino Supplies -- http://bit.ly/arduinoSupplies Arduino Starter Kit -- http://bit.ly/arduinoStarterKit Amazon: Arduino Mega Starter Kit -- https://amzn.to/2urwD25 Arduino Uno Starter Kit -- https://amzn.to/2pQWlYv Starter Kit & Projects Book -- https://amzn.to/2GfuAnr ----------------------------------------------------------------- Background Music: NoCopyrightSounds Tobu & Itro - Sunburst [NCS Release] https://youtu.be/4lXBHD5C8do http://soundcloud.com/7obu http://soundcloud.com/itro
https://wn.com/How_To_Talk_With_Arduino_Board_|_Voice_Recognition_Module_|_Record_Your_Voice
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