Prepare .wav or .amr files for yamnet.tflite model Android
After a lot of research, I realized there is no any easiest way to prepare a local .wav or .amr file for yamnet.tflite model, as we know…
Prepare .wav or .amr files for yamnet.tflite model Android
Photo by Jonas Zürcher on Unsplash
After a lot of research, I realized there is no any easiest way to prepare a local .wav or .amr file for yamnet.tflite model, as we know that any AI model takes a specific type or shape as an input, but the question is, What if the input file did not meet the model input requirements?
In this article, I will explain to you how to prepare local .wav or .amr files for yamnet.tflite model.
Yamnet model input:
The model accepts a 1-D float32 Tensor or NumPy array of length 15600 containing a 0.975-second waveform represented as mono 16 kHz samples in the range [-1.0, +1.0]. read more…
Step-1
Add these dependencies to the app-level build.gradle file
[embed]
Step-2
Prepare input file and run the model
[embed]
Finally, the output contains the model results
Happy coding…
Photo by Eden Constantino on Unsplash
메타데이터
- post_id
- bfb7e7e11aa0
- slug
- prepare-wav-or-amr-files-for-yamnet-tflite-model-android-bfb7e7e11aa0
- url
- https://medium.com/@rufankhokhar/prepare-wav-or-amr-files-for-yamnet-tflite-model-android-bfb7e7e11aa0
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- https://medium.com/@rufankhokhar/prepare-wav-or-amr-files-for-yamnet-tflite-model-android-bfb7e7e11aa0
- author_url
- https://medium.com/@rufankhokhar
- status
- ok
- fetched_at
- 2026-07-27 21:38:10
