speech_recognition/whisper.cpp
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whisper.cpp/examples/whisper.android
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Syahmi Azhar 1512545149
whisper : add loader class to allow loading from buffer and others (#353) 
* whisper : add loader to allow loading from other than file

* whisper : rename whisper_init to whisper_init_from_file

* whisper : add whisper_init_from_buffer

* android : Delete local.properties

* android : load models directly from assets

* whisper : adding <stddef.h> needed for size_t + code style

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2023-01-08 13:03:33 +02:00
..
.idea Check for both __ARM_NEON and __ARM_FEATURE_FMA so that the project can be compiled for armv7a. 2022-12-22 16:47:54 +02:00
app whisper : add loader class to allow loading from buffer and others (#353) 2023-01-08 13:03:33 +02:00
gradle/wrapper Add Android sample (#277) 2022-12-16 19:20:13 +02:00
.gitignore Add Android sample (#277) 2022-12-16 19:20:13 +02:00
build.gradle Add Android sample (#277) 2022-12-16 19:20:13 +02:00
gradle.properties Add Android sample (#277) 2022-12-16 19:20:13 +02:00
gradlew Add Android sample (#277) 2022-12-16 19:20:13 +02:00
gradlew.bat Add Android sample (#277) 2022-12-16 19:20:13 +02:00
README.md Update README.md (#46) 2022-12-16 19:28:51 +02:00
settings.gradle Add Android sample (#277) 2022-12-16 19:20:13 +02:00

README.md

A sample Android app using whisper.cpp to do voice-to-text transcriptions.

To use:

  1. Select a model from the whisper.cpp repository.1
  2. Copy the model to the "app/src/main/assets/models" folder.
  3. Select a sample audio file (for example, jfk.wav).
  4. Copy the sample to the "app/src/main/assets/samples" folder.
  5. Select the "release" active build variant, and use Android Studio to run and deploy to your device.
image

  1. I recommend the tiny or base models for running on an Android device. ↩︎