A pitch detecting feature where a user records his voice and app should process the audio and tell what is the frequency of the voice. With this knowledge, a musician can use to tune their voice. I found a couple of good resources like ML5 and Tensorflow lite which I like the idea of. I don't have to have my own dataset models, I can see many available models which are basic but gets the job done, but I don't know which one will be best for flutter integration? or even they are compatible to use! Any kind of relevant suggestion will be appreciated.
Related
I feel like I have searched and tried every audio package out there, but can't find a way to control the microphone gain. I'm building a recording app and theres a big issue when it comes to the volume of the recorded sounds. I don't want to increase the output volume, I want to increase the input volume.
If I understand it correctly, the iOS native API is the AVAudioSession. I found this package that I thought would enable this control, but doesn't seem to offer this functionality. Do I need to write some bridge code to deal with the native APIs for this or is it not even possible?
How does one go about creating a Face Swap mechanism in Flutter?
Can anyone point me in the right direction?
Thank you
You’ll probably need a good plugin to do all the hard work for you. I recommend Google’s ML Kit on Flutter, as it is the most popular way to run on-device ML with Flutter.
The face detection plugin is what you want. You would basically get the face oval shape with face contour detection and swap those shapes. And this can be done real-time with a given video input.
But you should keep in mind that the plugin is on v0.0.1. If you’re aiming for production, you’d better do that with Swift or Kotlin.
There are multiple ways to archive this thing in Flutter. It might be in real-time or with some delay of seconds.
You can use one of these packages.
Open CV
TensorFlow
Google's ML Kit
It might be possible you will not get good support from openCV and TensorFlow in a flutter. But you can integrate the OpenCV/TensorFlow native libs or SDK for both Android and IOS and invoke them through platform channels
There is also one more possible solution but it will definitely have a delay. For this kind of ML project python have great support of library and projects.
You can set up a python project which is responsible for face swapping it takes input from the flutter app (using rest API or socket) and return the output image after face-swapping.
Some great face swap projects are available on GitHub you can look into it.
I am searching for a way, to achieve real time image recognition in dynamically, I have to scan object (it can be a product) and show details about that object.
Is it possible by using native frameworks like ARKit? Or I have to go with third party libraries by using recent methodology?
Example: https://www.youtube.com/watch?v=GbplSdh0lGU
Can someone suggest a way?
Thanks.
Yes, it's possible by using Apple's native CoreML and Vision frameworks.
But you need to know about all the products in your library in advance.
You can read about it in this Medium post: CoreML Machine Learning on iOS.
Also, watch this WWDC 2017 video about Vision/CoreML frameworks.
I am developing an iPhone application (like Audio Processing). I have to give some effect to the audios.
If it is desktop app, many options are there. We can get good examples and full project like audacity. But I want to develop for iPhone.
I got an app with reverb option; (take a look at following link). Just I watch the "video", I did not test this application in my iPhone device.
http://www.appstorehq.com/reverb-iphone-89870/app
My question is; How can I develop the app with reverb functionality ? Is there any documentation for that ? If it is, just share with us.
NOTE: We can use AudioUnit to develop the app with reverb functionality (I am not clear with this.).
EDIT: I don't like to use any third party library.
If anybody having knowledge about this, please share with us.
Thanks.
if yourre targeting ios5 you can just the audio unit subtype kAudioUnitSubType_Reverb2 of the effect audio unit.
reverb unit
AudioComponentDescription auEffectUnitDescription;
auEffectUnitDescription.componentType = kAudioUnitType_Effect;
auEffectUnitDescription.componentSubType = kAudioUnitSubType_Reverb2;
auEffectUnitDescription.componentManufacturer = kAudioUnitManufacturer_Apple;
AUGraphAddNode(
processingGraph,
&auEffectUnitDescription,
&auEffectNode),
Failing that you could just write your own reverb code in the remoteio callback. A simple delay might be easier to do and would sound similar.
iOS 5.0 brings native OpenAL support, so it is now much easier - you don't have to code the algorithm yourself. It also bring support for a variety of reverb spaces:
Small Room
Medium Room
Large Room (2 configurations)
Medium Hall (3 configurations)
Large Hall (2 configurations)
Plate
Medium Chamber
Large Chamber
Cathedral
I suggest that you try the ObjectAL wrapper which already has a great support for the reverb effect:
https://github.com/kstenerud/ObjectAL-for-iPhone
Grab the source from this repository, load "ObjectAL.xcodeproj" and run the ObjectALDemo target on any iOS 5.0 device (should also work on the simulator). This will give you a good starting point and feeling of what the reverb effect is capable of.
If you still don't to use any 3rd party library, you can just grab the relevant pieces from ObjectAL. Look for the reverb-related code in the following source files (and their corresponding headers):
https://github.com/kstenerud/ObjectAL-for-iPhone/blob/master/ObjectAL/ObjectAL/OpenAL/ALListener.m
https://github.com/kstenerud/ObjectAL-for-iPhone/blob/master/ObjectAL/ObjectAL/OpenAL/ALSource.m
https://github.com/kstenerud/ObjectAL-for-iPhone/blob/master/ObjectAL/ObjectAL/OpenAL/ALWrapper.m
Good luck with your project!
AUs are a good place to start.
write your own reverb AU which contains a reverb implementation. there are tons of ways to implement a reverb. a medium/long convolution reverb is much to ask from a phone, but something such as a FDN (feedback delay network) will not require a lot of memory or CPU.
both implementations are easy to implement, if you're familiar with audio programming and optimization. the tough part is actually making one that sounds very good and performs well.
if you're unable to write optimal low level code or you do not (presently) understand basic audio signal processing, then you'll have a few obstacles to overcome -- it may be a long road in that case.
Searching the iOS documentation for "reverb" produces a link to the Core Audio Overview, which references reverb as an "effect unit." Perhaps that's worth further study?
No good, I have attempted the audio unit approach and even though it is in the documentation it is "not" implemented yet by the apple engineers. Each time you call the function to set the reverb property you will only get failure status code. You would have to implement your own reverb effect. Try reading some DSP book and you might find a clue.
you need to learn some DSP-level coding, the DSP cookbook book is okay and there are others out there. But basically you need to be comfortable with handling audio signal in the frequency domain and things such as FFT's. Once you have that, implementing a reverb filter should be straight-forward.
This is an answer I've given before, but I believe it is relevant here. I am going to agree with the others and say that you are going to have to become a bit more familiar with core-audio if you want to do this properly.
I highly recommend this core-audio book. It will teach what you need to do this right and will save you a lot of frustration.
The chapter on audio effects has not been published yet, but if it is anything like the rest of the book it's worth the wait.
EDIT
You will most likely need to do this with an audio effect (which is a form of an audio unit).
I have a children's iPhone application that I am writing and I need to be able to shift the pitch of a sound sample using Core Audio. Does anyone have any example code I could look at where this is done. There are many music and game apps in the app store that do this so I know I am not the first one. However, I cannot find any examples of it being done.
you can use dirac-2 from dsp dimension for pitch shifting on the iphone. quote: -
"DIRAC2 is available as both a commercial object library offering unlimited sample rates and phase locked multichannel support and as a free single channel, 44.1/48kHz LE version."
use the soundtouch open source project to change pitch
Here is the link : http://www.surina.net/soundtouch/
Once you add soundtouch to your project, you have to give the input sound file path, output sound file path and pitch change as the input.
Since it takes more time to process your sound its better to modify soundtouch so that when you record the voice, directly give the data for processing. It will make your application better.
I know it's too late for the person who asked but it is really a valuable link (As I found) for any one else who is looking for the solution of the same problem.
So Here we have latest DIRAC3 with it's own audio player classes which will take care of run time pitch and speed(explore for god knows what more) shifting. Run the sample and have huge round of applause for that.
Try Dirac - it's the best technology out there and it's available on Win, Linux, MacOS X and iOS. We're using it in all our products (and a couple of others do as well, search for "Capo" on the App Store). They're at version 3 now which has seen a huge increase in performance since previous versions. Hope this helps.
See: Related question
How much control over pitch do you need... could you precalculate all the different sounds?
If the answer is yes, then you can just pick the right sounds and play them.
You could also use Audio Converter Services in conjunction with AVAudioPlayer, which will allow you to resample the audio (which will effectively repitch them, though they'll change duration).
Alternatively, as the related question points out, you could use OpenAL and AL_PITCH