Niranjan Yadla

This is proof-of-concept project to create an Android app based on Whisper TFLite, which leverages the stock Android UI to show off its features. [Whisper-TFLIte-Android-Example](https://github.com/usefulsensors/openai-whisper/tree/main/android_app/Whisper-TFLIte-Android-Example) Refer here for Whidper TFLite...

Feel free to download the openai/whisper-tiny tflite-based Android Whisper ASR APP from [Google App Store](https://play.google.com/store/apps/details?id=com.whisper.android.tflitecpp).

##I guess below logic may work better for stream application pcmf32.resize(n_samples_new); SDL_DequeueAudio(g_dev_id_in, pcmf32.data() , n_samples_new*sizeof(float)); #if 0 static int total_samples = 0; total_samples += n_samples_new; if (total_samples n_samples_30s) pcmf32_to_keep.resize(n_buffer_samples+n_samples_new); for...

@mwelling , Please let us know when it is launched on Groupgets and its link to purchase

@mwelling Thanks for your update, we reserved 3 boards

@st4 use the attached dtln quantized tflite model https://github.com/nyadla-sys/whisper.tflite/blob/main/models/dtln_quantized.tflite