Post
100
Phonon-2 on a Galaxy S26: your Android app can turn a 9-second English recording into text in about 0.2 s, without uploading it. LibriSpeech test-clean word error rate: 1.73 % on the phone, 1.74 % in my PyTorch run of the original model.
litert-community/Phonon-2
Fermion Research's model, built on NVIDIA's Parakeet TDT 0.6B v3, converted to LiteRT.
In the clip, a test app plays a LibriSpeech recording (CC BY 4.0) and transcribes it on the NPU: "9.3 s of audio in 0.22 s (43× real time)".
To run it: the card has Android command-line runners and a desktop Python script.
litert-community/Phonon-2
Fermion Research's model, built on NVIDIA's Parakeet TDT 0.6B v3, converted to LiteRT.
In the clip, a test app plays a LibriSpeech recording (CC BY 4.0) and transcribes it on the NPU: "9.3 s of audio in 0.22 s (43× real time)".
To run it: the card has Android command-line runners and a desktop Python script.