AI News, Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page
- On Wednesday, September 26, 2018
- By Read More
Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page
This repository contains the code developed by TensorFlow for the following paper:
If you used this code, please kindly consider citing the following paper:
The essential problem is to find the correspondence between the audio and visual streams, which is the goal of
modalities into a representation space to evaluate the correspondence of audio-visual streams using the learned multimodal
The proposed architecture will incorporate both spatial and temporal information jointly to effectively
directory: The run the dedicated python file as below: Running the aforementioned script extracts the lip motions by saving the mouth area
been defined in the VisualizeLip.py file: Some of the defined arguments have their default values and no further action is required
In the visual section, the videos are post-processed to have an equal frame rate of 30 f/s.
Then, face tracking and mouth area extraction are performed on the videos using the dlib
Finally, all mouth areas are resized to have the same size and concatenated to form the input feature cube.
The proposed architecture utilizes two non-identical ConvNets which uses a pair of speech and video streams.
of audio corresponds with a lip motion clip within the desired stream duration.
Each input feature map for a single audio stream has the dimensionality of 15 × 40 × 3. This
the visual network, the lip motions spatial information alongside the temporal information are incorporated
Then, cd to the dedicated directory: Finally, the train.py file must be executed: For evaluation phase, a similar script must be executed: The below results demonstrate effects of the proposed method on the accuracy and
The current version of the code does not contain the adaptive pair selection method proposed by 3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition paper.
- On Wednesday, March 20, 2019
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 ...
But what *is* a Neural Network? | Deep learning, chapter 1
Subscribe to stay notified about new videos: Support more videos like this on Patreon: Or don'
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 ...
Looking to Listen: Audio-Visual Speech Separation (SIGGRAPH 2018)
The video accompanying our paper: "Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation".
OBS Studio 128 - How to use NDI w/ OBS for NO SCREEN TEARING dual PC Streaming - IT'S MAGIC!
EXPAND FOR IMPORTANT LINKS & INFO ▽▽▽ Welcome to my OBS Studio MASTER CLASS - The most in-depth and comprehensive OBS Studio tutorial ...
Best Home Theater Receiver Reviews 2018 | Best AV Receiver On A Budget
Product links: 4k gaming motior new tv box list: .
FULL DEMO Alto Professional ZMX52 | 5-Channel 2-Bus Mixer with 6 Inputs, 3-Band EQ
Order the Alto Professional ZMX52 | 5-Channel 2-Bus Mixer here: Order other Alto Professional audio gear here: .
Chapter 3 - Troubleshooting Audio
00:08 – Dynamic Meters 01:49 – "Red Dot" Mute Indication This video introduces powerful tools for visually troubleshooting the signal path within a BSS Audio ...
HDMI ARC is the Coolest TV Feature You're Not Using (Here's How)
SUBSCRIBE FOR THE LATEST VIDEOS What is HDMI ARC and how can you use it? HDMI ARC stands for "High Definition ..
CompTIA A+ Certification Video Course 220-901
TIP JAR: My CompTIA A+ eBook This is the Animated CompTIA A+ Certification Video Course 220-90