Package apple.soundanalysis

Class SNClassifySoundRequest

  • All Implemented Interfaces:
    NSObject, SNRequest
    public class SNClassifySoundRequest
extends NSObject
implements SNRequest
    Configure an analyzer to perform sound classification using the provided MLModel. When a new classification result is produced, the results observer will be called with an SNClassificationResult. Audio buffers provided to SNAudioStreamAnalyzer may vary in size, and the analyzer will reblock the audio data to the block size expected by the MLModel. By default, analysis will occur on the first audio channel in the audio stream, and the analyzer will apply sample rate conversion if the provided audio does not match the sample rate required by the MLModel.

    • Constructor Detail

      • SNClassifySoundRequest

        protected SNClassifySoundRequest​(org.moe.natj.general.Pointer peer)

    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()

      • allocWithZone

        public static java.lang.Object allocWithZone​(org.moe.natj.general.ptr.VoidPtr zone)

      • automaticallyNotifiesObserversForKey

        public static boolean automaticallyNotifiesObserversForKey​(java.lang.String key)

      • cancelPreviousPerformRequestsWithTarget

        public static void cancelPreviousPerformRequestsWithTarget​(java.lang.Object aTarget)

      • cancelPreviousPerformRequestsWithTargetSelectorObject

        public static void cancelPreviousPerformRequestsWithTargetSelectorObject​(java.lang.Object aTarget,
                                                                         org.moe.natj.objc.SEL aSelector,
                                                                         java.lang.Object anArgument)

      • classFallbacksForKeyedArchiver

        public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()

      • classForKeyedUnarchiver

        public static org.moe.natj.objc.Class classForKeyedUnarchiver()

      • debugDescription_static

        public static java.lang.String debugDescription_static()

      • description_static

        public static java.lang.String description_static()

      • hash_static

        public static long hash_static()

      • initWithMLModelError

        public SNClassifySoundRequest initWithMLModelError​(MLModel mlModel,
                                                   org.moe.natj.general.ptr.Ptr<NSError> error)
        Initializes a sound classification request with the provided MLModel The provided model must accept audio data as input, and output a classification dictionary containing the probability of each category.
        Parameters:
        mlModel - The CoreML audio classification model to be used with this request

      • instanceMethodSignatureForSelector

        public static NSMethodSignature instanceMethodSignatureForSelector​(org.moe.natj.objc.SEL aSelector)

      • instancesRespondToSelector

        public static boolean instancesRespondToSelector​(org.moe.natj.objc.SEL aSelector)

      • isSubclassOfClass

        public static boolean isSubclassOfClass​(org.moe.natj.objc.Class aClass)

      • keyPathsForValuesAffectingValueForKey

        public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey​(java.lang.String key)

      • new_objc

        public static java.lang.Object new_objc()

      • overlapFactor

        public double overlapFactor()
        The overlap factor of the windows of audio data provided to the classifier, if the model operates on fixed audio block sizes. When performing audio analysis on fixed audio block sizes, it is common for the analysis windows to overlap by some factor. Without overlapping the analysis windows (when the overlap factor is 0.0), a sound might be split across two analysis windows, which could negatively affect classification performance. Overlapping the analysis windows by 50% ensures each sound will fall near the center of at least one analysis window. The supported range is [0.0, 1.0), and the default value is 0.5. Increasing the overlap factor increases computational complexity, so values greater than 0.5 should be used with care.

      • resolveClassMethod

        public static boolean resolveClassMethod​(org.moe.natj.objc.SEL sel)

      • resolveInstanceMethod

        public static boolean resolveInstanceMethod​(org.moe.natj.objc.SEL sel)

      • setOverlapFactor

        public void setOverlapFactor​(double value)
        The overlap factor of the windows of audio data provided to the classifier, if the model operates on fixed audio block sizes. When performing audio analysis on fixed audio block sizes, it is common for the analysis windows to overlap by some factor. Without overlapping the analysis windows (when the overlap factor is 0.0), a sound might be split across two analysis windows, which could negatively affect classification performance. Overlapping the analysis windows by 50% ensures each sound will fall near the center of at least one analysis window. The supported range is [0.0, 1.0), and the default value is 0.5. Increasing the overlap factor increases computational complexity, so values greater than 0.5 should be used with care.

      • setVersion_static

        public static void setVersion_static​(long aVersion)

      • superclass_static

        public static org.moe.natj.objc.Class superclass_static()

      • version_static

        public static long version_static()