Research papers

How QnVoice synthesizes Filipino, Cebuano, and Urdu speech offline on iOS. The preprints document the models, measurements on iPhone, and what still needs testing.

Filipino

Offline Filipino Text to Speech in QnVoice for iOS with Quantized VoxCPM2

A quantized VoxCPM2 pipeline with a synthetic Tagalog reference. The paper separates text normalization, speech quality checks, and the changes that reduced playback delay on iPhone.

2.48 s median warm playback readiness on iPhone 15 Pro, down from 7.87 s across five requests.

First page · 10-page PDF

Cebuano

Offline Cebuano Text to Speech in QnVoice for iOS with VoxCPM2

A Cebuano voice profile that reuses the quantized VoxCPM2 weights. The study compares synthetic voice references and evaluates typed Cebuano synthesis separately from English-to-Cebuano translation.

3.54 s median time to playback for the five later requests on iPhone 15 Pro, out of six total.

First page · 10-page PDF

Urdu

Offline Urdu Text to Speech in QnVoice for iOS with Distilled Matcha

An Urdu Matcha model shortened from ten solver steps to three, with a learned correction to recover acoustic features. The study compares synthesis latency on iPhone and Mac.

1.30 s median warm synthesis on iPhone 15 Pro, down from 1.50 s across 72 runs per model.

First page · 10-page PDF

The studies measure different stages of speech generation. Their timings are not a ranking across languages, and native-speaker listening evaluations remain open.