Getting MatchError "MATCH_ATTEMPT_FAILED" everytime when matchstream on Android Studio Java+Kotlin project. My project reads the samples from the mic input using audioRecord class and sents them to the Shazamkit to matchstream. I created a kotlin class to handle to Shazamkit. The audioRecord is build to be mono and 16 bit. My Kotlin Class class ShazamKitHelper { val shazamScope = CoroutineScope(Dispatchers.IO + SupervisorJob()) lateinit var streaming_session: StreamingSession lateinit var signature: Signature lateinit var catalog: ShazamCatalog fun createStreamingSessionAsync(developerTokenProvider: DeveloperTokenProvider, readBufferSize: Int, sampleRate: AudioSampleRateInHz ): CompletableFuture<Unit>{ return CompletableFuture.supplyAsync { runBlocking { runCatching { shazamScope.launch { createStreamingSession(developerTokenProvider,readBufferSize,sampleRate) }.join() }.onFailure { throwable -> }.getOrThrow() } } } private suspend fun createStreamingSession(developerTokenProvider:DeveloperTokenProvider,readBufferSize: Int,sampleRateInHz: AudioSampleRateInHz) { catalog = ShazamKit.createShazamCatalog(developerTokenProvider) streaming_session = (ShazamKit.createStreamingSession( catalog, sampleRateInHz, readBufferSize ) as ShazamKitResult.Success).data } fun startMatching() { val audioData = sharedAudioData ?: return // Return if sharedAudioData is null CoroutineScope(Dispatchers.IO).launch { runCatching { streaming_session.matchStream(audioData.data, audioData.meaningfulLengthInBytes, audioData.timestampInMs) }.onFailure { throwable -> Log.e("ShazamKitHelper", "Error during matchStream", throwable) } } } @JvmField var sharedAudioData: AudioData? = null; data class AudioData(val data: ByteArray, val meaningfulLengthInBytes: Int, val timestampInMs: Long) fun startListeningForMatches() { CoroutineScope(Dispatchers.IO).launch { streaming_session.recognitionResults().collect { matchResult -> when (matchResult) { is MatchResult.Match -> { val match = matchResult.matchedMediaItems println("Match found: ${match.get(0).title} by ${match.get(0).artist}") } is MatchResult.NoMatch -> { println("No match found") } is MatchResult.Error -> { val error = matchResult.exception println("Match error: ${error.message}") } } } } } } My code in java reads the samples from a thread: shazam_create_session(); while (audioRecord.getRecordingState() == AudioRecord.RECORDSTATE_RECORDING){ if (shazam_session_created){ byte[] buffer = new byte[288000];//max_shazam_seconds * sampleRate * 2]; audioRecord.read(buffer,0,buffer.length,AudioRecord.READ_BLOCKING); helper.sharedAudioData = new ShazamKitHelper.AudioData(buffer,buffer.length,System.currentTimeMillis()); helper.startMatching(); if (!listener_called){ listener_called = true; helper.startListeningForMatches(); } } else{ SystemClock.sleep(100); } } private void shazam_create_session() { MyDeveloperTokenProvider provider = new MyDeveloperTokenProvider(); AudioSampleRateInHz sample_rate = AudioSampleRateInHz.SAMPLE_RATE_48000; if (sampleRate == 44100) sample_rate = AudioSampleRateInHz.SAMPLE_RATE_44100; CompletableFuture<Unit> future = helper.createStreamingSessionAsync(provider, 288000, sample_rate); future.thenAccept(result -> { shazam_session_created = true; }); future.exceptionally(throwable -> { Toast.makeText(mine, "Failure", Toast.LENGTH_SHORT).show(); return null; }); } I Implemented the developer token in java as follows public static class MyDeveloperTokenProvider implements DeveloperTokenProvider { DeveloperToken the_token = null; @NonNull @Override public DeveloperToken provideDeveloperToken() { if (the_token == null){ try { the_token = generateDeveloperToken(); return the_token; } catch (NoSuchAlgorithmException | InvalidKeySpecException e) { throw new RuntimeException(e); } } else{ return the_token; } } @NonNull private DeveloperToken generateDeveloperToken() throws NoSuchAlgorithmException, InvalidKeySpecException { PKCS8EncodedKeySpec priPKCS8 = new PKCS8EncodedKeySpec(Decoders.BASE64.decode(p8)); PrivateKey appleKey = KeyFactory.getInstance("EC").generatePrivate(priPKCS8); Instant now = Instant.now(); Instant expiration = now.plus(Duration.ofDays(90)); String jwt = Jwts.builder() .header().add("alg", "ES256").add("kid", keyId).and() .issuer(teamId) .issuedAt(Date.from(now)) .expiration(Date.from(expiration)) .signWith(appleKey) // Specify algorithm explicitly .compact(); return new DeveloperToken(jwt); } }

Hi, I have been working on a project that enables users to listen to their favorite music using a streaming service, which so far was Spotify. The app had a programmable 3D/2D interface with the ability to connect to devices in your home and have them react to music. As of September 2024, Spotify decomissioned their Audio Analysis API. I have seen other posts mention playing Apple Music through AVFoundation, which would break DRM and so it’s not supported. However, the Spotify Audio Analysis API does not allow for a full frequency reconstruction. It is entirely temporal data on beats, kicks, loudness, and timbre changes, which themselves are operators on the spectral data from the FFT. It would be very useful for the developer community if we get the ability to do this and it will probably Apple Music among developers and those who use their apps a lot more. Would love to hear your thoughts about this and Happy New Year!

I'm building a camera app that does some post processing after the photo has been taken. With 12MP the processing is pretty good, but larger images 24MP is very slow. I created a very simple example to demonstrate the issue, which is loading an image and the rendering it to data. let context = CIContext() let imageUrl = Bundle.main.url(forResource: "12mp", withExtension: "jpg")! let data = try! Data(contentsOf: imageUrl) let ciImage = CIImage(data: data)! let start = CFAbsoluteTimeGetCurrent() let data = context.jpegRepresentation(of: ciImage, colorSpace: context.workingColorSpace!) print(data?.count) print("Resize Completed: " + String(CFAbsoluteTimeGetCurrent() - start)) Running this code on an iPhone 16 Pro with different images produces these benchmarks: 12MP => 0.03s 24MP => 1.22s 48MP => 2.98s I understand that processing time will increase with resolution but it doesn't seem linear. I have tried setting different CiContext options such as .useSoftwareRenderer: false but it has made no difference. From profiling the process it looks like the JPEG decoding is the bottle neck. This is for a 48MP Image: Is there any way this can be improved?

I'm developing a Final Cut Pro X workflow extension that transcribes audio and creates a text output. I need to allow users to drag this text directly from my extension into FCPX's timeline as titles. Current Implementation: Using NSFilePromiseProvider as per Apple's guidelines for drag and drop Generating valid FCPXML (v1.10) with proper structure: Complete resources section with format and asset references Event and project hierarchy Asset clip with connected title elements Proper timing and duration calculations Supporting multiple pasteboard types: com.apple.finalcutpro.xml.v1-10 com.apple.finalcutpro.xml.v1-9 com.apple.finalcutpro.xml What's Working: Drag operation initiates correctly File promise provider is set up properly FCPXML generation is successful (verified content) All required pasteboard types are registered Proper logging confirms data is being requested and provided Current Pasteboard Types Offered: com.apple.NSFilePromiseItemMetaData com.apple.pasteboard.promised-file-name com.apple.pasteboard.promised-suggested-file-name com.apple.pasteboard.promised-file-content-type Apple files promise pasteboard type com.apple.pasteboard.NSFilePromiseID com.apple.pasteboard.promised-file-url com.apple.finalcutpro.xml.v1-10 com.apple.finalcutpro.xml.v1-9 com.apple.finalcutpro.xml What additional requirements or considerations are needed to make FCPX accept the dragged FCPXML content? Are there specific requirements for workflow extensions regarding drag and drop operations with titles that aren't documented? Any insights, especially from those who have implemented similar functionality in FCPX workflow extensions, would be greatly appreciated. Technical Details: macOS Version: 15.5 (24F74) FCPX Version: 11.1.1 Extension built with SwiftUI and AppKit integration Using NSFilePromiseProvider and NSPasteboardItemDataProvider Full pasteboard type support for FCPXML versions

How can I implement the same custom CIFilter as a Lightroom Color Grading tool for shadows, midtones, highlights and global areas?

Hello, Is there a way to handle 403 error returned by the server, eg token expired ? Cannot find any information about this and everything that I tried wasn't working (addObserver, NotificationCenter with .AVPlayerItemNewErrorLogEntry, AVPlayerItemPlaybackStalled, ...) Thank you very much.

Context We develop an iOS/Apple TV app that allows to play HLS+FP Live streams (custom playback UI), some of which use the same FairPlay content key id. All FairPlay content keys are requested to the same content key server. Implementation Despite Apple documentation warning to not reuse AVContentKeySessions, we use only one AVContentKeySession for all channels which allows the system to reuse the content key when a content key id is met again. As seen in another thread, people seems to think this is OK. Issue When reusing the AVContentKeySession and the user quickly tunes channels multiple times (up to 2 or 3 times per second using gestures), an inconsistency may occur where the content key request for a previous streams is asked to the delegate after a new stream is already being prepared and its AVURLAsset already assigned as the content key session AVContentKeyRecipient. Note that the previous content key recipient is removed before the new one is added. We also have been reported for crashes (though I haven't experienced it myself) when performing multiple channels tunings which makes us think that the AVContentKeySession should definitely not been reused. Note: On the other hand if a new AVContentKeySession is used for each stream, the system systematically requests a content key even if previous streams have used the same content key id. In this case, neither the crash nor the inconsistency issue are observed but it dramatically increases the number of calls to the content key server. Questions Should AVContentKeySessions definitely not be reused? Otherwise, how to handle the inconsistency issue described above?

In Final Cut Pro, keyframes for transform parameters (such as Position, Scale, and Rotation) are automatically set to “Smooth” interpolation. This often results in undesired easing between keyframes, especially when linear motion is required. Currently, we have to manually adjust each keyframe to "Linear" using the Video Animation Editor, which can be time-consuming when working with many keyframes. Would it be possible to add an option to set the default keyframe interpolation to "Linear"—either globally in Preferences or per parameter in the Inspector? This would greatly streamline the animation workflow for many editors. Thank you for considering this request!

I want my iOS app to be able to use USB client mode to send LiDAR data and camera frames to another device. What are my options for doing this. I've found IOUSBHost for host mode, but I want to see all my options. The device I want driving the bus is a Meta Quest 3, which, and I mention for the sake of clarity, is inherently an Android device. The iPhone is to be used as a sensor hub, sending data to the Quest 3 for further processing. As a workaround, I could let the iPhone drive the bus and have the Quest 3 use Android's accessory mode, which lets other devices drive the USB bus. But, there are more USB devices I want to attach for my project, and doing this makes such more difficult. I want to avoid it.

In our logging tools (Firebase) I see a lot of errors reported when users are playing content and the app transitions to the background. A AVPlayerItemFailedToPlayToEndTime notification is fired with an error containing error codes like -1102 and 1852797029 which seem to correspond to NSURLErrorNoPermissionsToReadFile and kCMIOHardwareIllegalOperationError respectively. To me, it looks like these might have something to do with caching logic. The items being played are HLS streams and we make use of AVAssetDownloadTask to make any streamed content offline available. Our setup is similar to the sample provided here: https://developer.apple.com/documentation/avfoundation/using-avfoundation-to-play-and-persist-http-live-streams. Whenever an item is selected for playback the app will check if a cached version is available and if so gets the url to the stored file like the "localAssetForStream()" method in the example, or get the asset from a currently running AVAssetDownloadTask for the item, or else, starts a new AVAssetDownloadTask and returns a AVAsset from that task to play. This seems to work fine, and I can't reproduce the issues our users and our logging tools are reporting. Is there some case I am missing where AVAssetDownloadTask and associated AVAssets might become unreadable when the app transitions to the background? Or do these errors indicate a different problem entirely?

Here we are focusing to change the cookie at every 120 seconds while playing , in apple avplayer we can't modify cookie after initialisation due to that we followed the approach to using " Resource loader delegate " to pass cookie as a header value . What I notice is that the playlist file (.m3u8) gets downloaded correctly. Then video file (.m4a) some chunks also gets downloaded. I know that the .ts file is downloaded because I can see the GET request completing on the web server with status 200. I also set a breakpoint at the following line: loadingRequest.dataRequest?.respond(with: data) immediately got error from avplayer status as "The operation could not be completed. An unknown error occurred (-12881) From core media" Need confirmation on why I am unable to load HLS using resource loader. is it possible to update cookie value while paying continuously on avplayer. override func viewDidLoad() { super.viewDidLoad() // Do any additional setup after loading the view. let urlString = "localhost://demo.unified-streaming.com/k8s/features/stable/video/tears-of-steel/tears-of-steel.ism/.m3u8" guard let url = URL(string: urlString) else { print("Invalid URL") return } //Create cookie to prepare for player asset let cookie = HTTPCookie(properties: [ .name: "dazn-token", .value: "cookie value", .domain: url.host() ?? "", .path: "/", .discard: true ]) //Create cookie key to set AVURLAsset let options = [AVURLAssetHTTPCookiesKey: [cookie]] let asset = AVURLAsset(url: url,options: options) proxy = ReverseProxyResourceLoader() proxy?.cookie = "exampleCookie" // Set resource loader delegate to moniter the chunks asset.resourceLoader.setDelegate(proxy, queue: DispatchQueue.global()) // Load asset keys asynchronously (e.g., "playable") let keys = ["playable"] // Initialize the AVPlayer with the URL let playerItem = AVPlayerItem(asset: asset) self.player = AVPlayer(playerItem: playerItem) playerItem.addObserver(self, forKeyPath: "status", options: [.new, .initial], context: nil) // Observe 'error' property (if needed) playerItem.addObserver(self, forKeyPath: "error", options: [.new], context: nil) let contentKeySessionDelegate = ContentKeyDelegate() // Initialize AVContentKeySession let contentKeySession = AVContentKeySession(keySystem: .clearKey) self.contentKeySession = contentKeySession contentKeySession.setDelegate(contentKeySessionDelegate, queue: DispatchQueue.main) // Associate the asset with the content key session contentKeySession.addContentKeyRecipient(asset) // Create a layer for the AVPlayer and add it to the view playerLayer = AVPlayerLayer(player: player) playerLayer?.frame = view.bounds playerLayer?.videoGravity = .resizeAspect if let playerLayer = playerLayer { view.layer.addSublayer(playerLayer) } NotificationCenter.default.addObserver( self, selector: #selector(playerDidFinishPlaying), name: .AVPlayerItemDidPlayToEndTime, object: player?.currentItem ) // Start playback player?.play() } // Update cookie when ever needed func updateCookie() { proxy?.cookie = "update exampleCookie" } @objc private func playerDidFinishPlaying(notification: Notification) { print("Playback finished!") // Optionally, handle end-of-playback actions here } // // ReverseProxyResourceLoader.swift // HLSDemo // // Created by Gajje.Venkatarao on 12/12/24. // import Foundation import AVKit import AVFoundation class ReverseProxyResourceLoader: NSObject, AVAssetResourceLoaderDelegate { var cookie = "" func resourceLoader(_ resourceLoader: AVAssetResourceLoader, shouldWaitForLoadingOfRequestedResource loadingRequest: AVAssetResourceLoadingRequest) -> Bool { resourceLoader.preloadsEligibleContentKeys = true guard let interceptedURL = loadingRequest.request.url else { loadingRequest.finishLoading(with: NSError(domain: "ReverseProxy", code: -1, userInfo: [NSLocalizedDescriptionKey: "Invalid URL"])) return false } if interceptedURL.scheme == "skd" { print("Token updated Cookie:", interceptedURL ) return false } var components = URLComponents(url: interceptedURL, resolvingAgainstBaseURL: false) components?.scheme = "https" // Replace with the original scheme guard let originalURL = components?.url else { loadingRequest.finishLoading(with: NSError(domain: "ReverseProxy", code: -1, userInfo: [NSLocalizedDescriptionKey: "Failed to map URL"])) loadingRequest.finishLoading() return false } var request = URLRequest(url: originalURL) request.httpMethod = "GET" if let storeCoockie = HTTPCookie(properties: [ .name: "dazn-token", .value: cookie, .domain: originalURL.host ?? "", .path: "/", .discard: true ]){ HTTPCookieStorage.shared.setCookie(storeCoockie) } let headers = loadingRequest.request.allHTTPHeaderFields ?? [:] for (key, value) in headers { request.addValue(value, forHTTPHeaderField: key) } request.addValue(cookie, forHTTPHeaderField: "Cookie") URLSession.shared.configuration.httpShouldSetCookies = true request.httpShouldHandleCookies = true let task = (URLSession.shared.dataTask(with: originalURL) { data, response, error in if let error = error { print("Error Received:", error) loadingRequest.finishLoading(with: error) return } print(originalURL) guard let data = data , let url = response?.url else { loadingRequest.finishLoading(with: NSError(domain: "ReverseProxy", code: -1, userInfo: [NSLocalizedDescriptionKey: "No data received"])) return } loadingRequest.dataRequest?.respond(with: data) loadingRequest.finishLoading() } as URLSessionDataTask) task.resume() return true } } Example project

It seems currently 5G Network Slicing is only available on URL Request / URL Session / Low level network and not on AVPlayer, is it possible to have the app using default slice when start the app and only enable Network Slicing when streaming video via AVPlayer?

AVPictureInPictureControllerContentSource *contentSource = [[AVPictureInPictureControllerContentSource alloc] initWithSampleBufferDisplayLayer:self.renderView.sampleBufferDisplayLayer playbackDelegate:self]; AVPictureInPictureController *pictureInPictureController = [[AVPictureInPictureController alloc] initWithContentSource:contentSource]; pictureInPictureController.delegate = self; (void)pictureInPictureController:(AVPictureInPictureController *)pictureInPictureController failedToStartPictureInPictureWithError:(NSError *)error { //error NSError * domain: @"PGPegasusErrorDomain" - code: -1003 0x00000002819fe3a0 } when first start the PiP play, I got the error "//error NSError * domain: @"PGPegasusErrorDomain" - code: -1003 0x00000002819fe3a0", why? and second start is Ok.

Does an artist similarity station broaden selection variety compared to a song similarity station? You don't have to answer if it is against nondisclosure terms.

I'm working on a media app that would like to be able to tell if the TV connected to tvOS is running at 59.94hz or 60.00hz, so it can optimize a video stream. It looks like the best I can currently do is to check if the user has Match Content Rate enabled, and based on that, when calling displayManager.preferredDisplayCriteria to change video modes, I could guess which rate their TV might be in. It's not very ideal, because not all TVs support both of these rates, and my request for 59.94 might end up as 60 and vice versa. I dug around and can't find any available method in UIScreen to get this info. The odd thing is, the data is right there in currentMode when I look in the debugger, but it seems to be in a private or undocumented class. Is there any way to get at it?

Hello, Our users have started to see a new fatal AVPlayer error during playback starting with iOS/tvOS 18.0. The error is defined as "CoreMediaErrorDomain Code=-15486". We have not been able to reproduce this issue locally within our development team. Is there any documentation on the cause of this error or steps to recover from this error? Thank you, Howard

Based on the iPhone 14 Max camera, implement model recognition and draw a rectangular box around the recognized object. The width and height are calculated using LiDAR and displayed in centimeters on the real-time updated image.

I'm trying to load Music Kit on the server with solid js. I can confirm that my implementation has been sufficient to return authentication tokens and for MusicKit.isAuthorized to return true. My issue is that if I reload the page, it only succeeds intermittently (perhaps 25% of the time?). My question is - what is wrong with my implementation? Removing the async keyword ensures it loads every time but playing and queuing music no longer works. I'm currently assuming this is an SSR issue but the docs haven't explicitly specified this isn't possible. I have the following boilerplate: export default createHandler( () => ( <StartServer document={({ assets, children, scripts }) => { return ( <html lang="en"> <head> <meta name="apple-music-developer-token" content={authResult.token} /> <meta name="apple-music-app-name" content="app name" /> <meta name="apple-music-app-build" content="1978.4.1" /> {assets} <script src="https://js-cdn.music.apple.com/musickit/v3/musickit.js" async /> </head> <body> <div id="app">{children}</div> {scripts} </body> </html> ) }} /> )) When I first load my app, I'll encounter: musickit.js:13 Uncaught TypeError: Cannot read properties of undefined (reading 'node') at musickit.js:13:10194 at musickit.js:13:140 at musickit.js:13:209 The intermittence signals an issue relating to the async keyword. An expansion on this issue can be found here.

I found that the aggregated device correctly obtains input channels in the standard microphone mode. However, in voice isolation mode, it only retrieves channels from the first sub-device in the aggregated device's list. If I want to properly obtain channel information in voice isolation mode, how should I do it?

Hello Apple Community, We are working on a real-time streaming feature where we receive chunks of raw MP4 data through a custom protocol and store them in a buffer (array). Our goal is to use these data chunks to play a continuous video stream in AVPlayer. What We've Tried: Custom URL Scheme with AVAssetResourceLoaderDelegate: We implemented a custom URL scheme (customscheme://) to serve the buffered data using AVAssetResourceLoaderDelegate. The method shouldWaitForLoadingOfRequestedResource is called only during the initial allocation. It doesn't get triggered when new chunks are appended to the buffer. Despite appending new data to the buffer, AVPlayer doesn’t request further chunks from the delegate. What We Need: We are looking for a solution where: The player continuously fetches data from the buffer as new chunks are added. The playback remains smooth and uninterrupted, even with real-time data being appended. Ideally, this solution works with AVPlayer while adhering to HLS-like behavior without implementing an HLS server. Questions: Is AVAssetResourceLoaderDelegate the right approach for this use case? If so, how can we ensure shouldWaitForLoadingOfRequestedResource is called whenever new data is available in the buffer? Are there alternative APIs or recommended patterns for playing real-time MP4 data chunks in AVPlayer? Would implementing a custom FFmpeg-based player be necessary, or can this be achieved using AVPlayer and its APIs? We appreciate any guidance, suggestions, or examples that can help us achieve this. Thank you!