Work

Offline Cebuano Text to Speech in QnVoice for iOS with VoxCPM2

Year: 2026

Type: preprint

Abstract: QnVoice adds offline Cebuano text to speech on iOS using a quantized VoxCPM2 runtime and a synthetic voice reference. Typed Cebuano goes directly to synthesis. English input can pass through a bundled Marian translation model. We screen five reference configurations on 12 prompts and compare two references on 16 separate prompts. The selected shared reference yielded 3.32% character error and 18.89% word error using automated Cebuano transcription. On an iPhone 15 Pro, six typed Cebuano requests reached playback in 3.14–4.67 seconds. The paper describes the iOS implementation, evaluation methods, and audio samples. Fluent-listener ratings and coverage across devices remain open.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24032368

Author: QnVoice

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225461161

Cites:

Cited by: 1

Related to: 10