0.3.0

0.3.0

• BREAK CHANGE: Recording bufferSize now takes in 2x the number of samples. To keep the same recording length, simply divide your previous bufferSize by 2.
• Experimental: Support MFCC, melSpectrogram and spectrogram inputs
• Feature: Can automatically or manually set audio length
• Feature: Can automatically or manually transpose input shape
• Improvement: Stability of asyncronous operations with RxJava and RxSwift
• Improvement: (iOS) Removed meta info when extracting data from audio file.
• Improvement: (Android) Splicing algorithm passes all test case. Audio recogntion should now be more accurate.
• Fixed: (iOS) Duplicate symbol error. Set version of TensorFlowLite to 2.6.0. Problem found here.
• Fixed: (Android & iOS) Incorrect padding when splicing audio file. All test cases have passed.

0.2.1+1

• Fixed inaccurate numOfInference count for iOS and android.
• Improved recognition accuracy for Google Teachable Machine models
• Fixed memory crash on android
• Improved memory performance on iOS
• Added feature to output raw scores
• moved inputType to loadModel() instead of startAudioRecognition()

0.2.0

• Fixed crashed on Android when force stopping recognition
• Improve recognition latency on android by reducing number of event calls.

0.1.9

• Added support for android V2 embedding
• Breaking change: No longer supports deprecated versions of Android (pre 1.12)

0.1.8+1

• Added null safety compatability
• Fix the problem with bridge NSNumber to Float
• Merged rawAudioRecognize() and decodedWavRecognize() on native platforms
• Set detection parameters to 0 for better performance.

V0.1.7+1

• (0.1.7) Fixed iOS bug where stream wont close when permission has been denied.
• (0.1.7) Added feature where you can adjust the detection sensitivity of the model
• (0.1.7+1) Hotfixed iOS crash when casting double to float for detectionThreshold