I Can Read Your Lips Song

2021年6月23日
Download here: http://gg.gg/v3ncw
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So close you can almost taste it Release your inner visions Feel the rain on your skin No one else can feel it for you Only you can let it in No one else, no one else Can speak the words on your lips Drench yourself in words unspoken Live your life with arms wide open Today is where your book begins. Feel the rain on your skin No one else can. Check amazon for Read My Lips mp3 download these lyrics are submitted by BURKUL4 Songwriter(s): Michael P. Franks Publisher(s): Mississippi Mud Music Co. Record Label(s): 1985 Warner Bros Records Marketed by Rhino Entertainment Company, a Warner Music Group company Official lyrics. Read my lips for that’s all you gotta do This is all for you On the kitchen floor, tonight you know it’s going down If you want some more baby you know I can throw it back.Writers & Publishers
from the album X ·Copyright: Writer(s): Yummy, 岩崎 圭太 Lyrics Terms of UseLast.fm’s Current Most Loved Pop Tracks
Read My Lips En free download - My Lockbox, My WiFi Router, Lazesoft Recover My Password Home, and many more programs. Can you show me where it hurts? There is no pain you are receding A distant ship, smoke on the horizon. You are only coming through in waves. Your lips move but I can’t hear what you’re saying. When I was a child I had a fever My hands felt just like two balloons. Now I’ve got that feeling once again I can’t explain you would not understand.
Read my lips
I’m into you
I’m into you
I can’t resist
You’re so hot (get me into the shade)
The spotlight’s on
You take me to it
You like it and
Just the way that you dance
Just the way that you dance
The concise townscape pdf. (Yeah, yeah) Is enough to love you baby
(Yeah, yeah) Is enough to send me crazy
(Yeah, yeah) Such angelic motion
(Yeah, yeah) You know you’re made in heavenRelated
The way you walk
The rhythm when you’re dancing
Every inch of you spells out desire
You’re such a rush
The rush is never ending
Now, you got it, you’re wow, wow, wow, wow
You got it; you’re wow, wow, wow, wow
The more I try, I try to stop
The more I can feel my antenna just sensing you up
What can I do?
I’m into you
I’m into you
Love the way that you move
Just love the way that you move
(Yeah, yeah) Such angelic motion
(Yeah, yeah) You know you’re made in heavenCheck Out
The way you walk
The rhythm when you’re dancing
Every inch of you spells out desire
You’re such a rush
The rush is never ending
Now, you got it, you’re wow, wow, wow, wow
You got it; you’re wow, wow, wow, wow
W-woah ooh, ooh
W-woah ooh
W-woah ooh, ooh
W-woah ooh
The way you walk
The rhythm when you’re dancing
Every inch of you spells out desire
You’re such a rush
The rush is never ending
Now, you got it, you’re wow, wow, wow, wow
The way you walk
The rhythm when you’re dancing
Every inch of you spells out desire
You’re such a rush
The rush is never ending
Now, you got it, you’re wow, wow, wow, wow
You got it; you’re wow, wow, wow, wow
WowPosted by Pohung Chen, Creative Technologist, Google Partner Innovation
Today we are releasing LipSync, a web experience that lets you lip sync to music live in the web browser. LipSync was created as a playful way to demonstrate the facemesh model used with TensorFlow.js. We partnered with Australian singer Tones and I to let you lip sync to Dance Monkey in this demonstration.
Using TensorFlow.js and FaceMeshThe FaceMesh model (built by MediaPipe) provides a real-time high density estimate of key points of your facial expression using only a webcam and on device machine learning - meaning no data ever leaves your machine for inference. We essentially use the key points around the mouth and lips to estimate how well you synchronize to the lyrics of the Dance Monkey song.
Determining CorrectnessWhen first testing the demo, many people assumed we used a complex lip reading algorithm to match the mouth shapes with lyrics. Lip reading is quite difficult to achieve, so we came up with a simpler solution. We capture a frame by frame recording of the “correct” mouth shapes lined up with the music, and then when the user is playing the game, we compare the mouth shapes to the pre-recorded baseline.
Measuring the shape of your mouthWhat is a mouth shape? There are many different ways to measure the shape of your mouth. We needed a technique that allows the user to move their head around while singing and is relatively forgiving in different mouth shapes, sizes, and distance to the camera.
Mouth RatioOne way of comparing mouth shapes is to use the width to height ratio of your mouth. For example, if your mouth is closed and forming the “mmm” sound, you have a high width to height ratio. If your mouth is open in an “ooo” sound, your mouth will be closer to a 1:1 width to height ratio.
While this method mostly works, there were still edge cases that made the detection algorithm not as robust, so we explored another method called Hu Moments explained below.
OpenCV matchShapes Hu MomentsIn the OpenCV library, there is a matchShapes function which compares contours and returns a similarity score. Underneath the hood, the matchShapes function uses a technique called Hu Moments which provides a set of numbers calculated using central moments that are invariant to image transformations. This allowed us to compare shapes regardless of translation, scale, and rotation. So the user can freely rotate their head without impacting the detection of the mouth shape itself.
We use this in addition to the mouth shape above to determine how closely the shape of the mouth contours match.
Visual and Audio FeedbackIn our original prototype, we wanted to create immediate audible feedback on how well the user is doing. We separated out the vocal track from the rest of the song and changed its volume based on real-time user performance score of their mouth shapes.
Vocal TrackInstrumental TrackThis allowed us to create the effect such that if you stop lip syncing to the song, the lyrical portion of the song stops playing (but the background music continues to play).
While this was a fun way to demonstrate the mouth shape matching algorithm, however it still missed that satisfactory rush of joy you get when you hit the right notes during karaoke or nail a long sequence of moves just right in arcade rhythm games.
We started by adding a real-time score that is then accumulated over time shown to the player as they played the game. In our initial testing, this didn’t work as well as we had hoped. It was confusing what the score was and the exact numbers weren’t particularly meaningful. We also wanted the user to focus their attention on the lyrics and the center of the screen as opposed to a score off to the side.
So we went with a different approach, preferring to lean on visual effects overlaid on top of the player’s face as they lip synced to the music and colors to indicate how well the player was doing.
Try Lip Sync yourself!TensorFlow.js and FaceMesh enable web-based, playful, interactive experiences that go beyond basic face filters, and with a little bit of creative thinking, we could get a lip sync experience without needing the full complexity of a full lip reading ML model.
So go ahead and try our live demo yourself right now. You can also check out an example of how the mouth shape matching works in this open source repo.
Learn To Read LipsWe would also like to give a special shout out to Kiattiyot Panichprecha, Bryan Tanaka, KC Chung, Dave Bowman, Matty Burton, Roger Chang, Ann Yuan, Sandeep Gupta, Miguel de Andrés-Clavera, Alessandra Donati, and Ethan Converse for their help in bringing this experience to life, and to thank the MediaPipe team who designed Facemesh.
Download here: http://gg.gg/v3ncw

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