license: other
license_name: breezeblue-research-and-non-commercial-license-v1.1
license_link: LICENSE
base_model: BreezeBlue/Breeze-TTS-2
base_model_relation: finetune
pipeline_tag: text-to-speech
language:
- en
tags:
- text-to-speech
- full-finetune
- breeze-tts-2
- voice-cloning
- speech-synthesis
- singapore-english
- non-commercial
extra_gated_prompt: >-
This derivative is available only for research and non-commercial use under
the included BreezeBlue agreement. Gating records an acknowledgement but does
not replace the agreement or supply voice and recording rights.
extra_gated_fields:
I will use this derivative only for research or non-commercial purposes: checkbox
I will not use it for impersonation, deception, or non-consensual voice cloning: checkbox
I have the rights and consent required for every reference voice and recording I use: checkbox
model-index:
- name: Instavar SG Narration Full SFT
results:
- task:
type: text-to-speech
name: Text-to-Speech
dataset:
type: female01-matched-reference-free
name: FEMALE_01 matched reference-free prompts
metrics:
- type: wer
name: Word error rate
value: 0.0467
- type: ecapa-speaker-similarity
name: Mean ECAPA speaker similarity
value: 0.6973
Instavar SG Narration Full SFT
Derived from Breeze TTS 2 by BreezeBlue and licensed for research and non-commercial use only.
This is an independent research checkpoint trained by Instavar on a consented, single-speaker subset of Singapore's National Speech Corpus. It is not an official BreezeBlue release and is not endorsed by BreezeBlue or RESONIA, INC.
Artifact
- Base:
BreezeBlue/Breeze-TTS-2 - Pinned base revision:
799624c0b4a1daa8db6d28bbd9850043c0270734 - Selected checkpoint: step 750 of 1,000
- Updated synthesis parameters: 2,387,151,872
- Frozen during training: text encoder and audio codec
- Optimizer: FP32-master SGD
This repository contains inference roles only. Optimizer, scheduler, random state, trainer state, source recordings, caches, and private receipts are not included.
Use
Use the companion source toolkit:
python infer.py /models/sg-narration-full-sft \
--text "The train arrives in five minutes." \
--output output.wav
Source and documentation: instavar/breeze-tts2-finetuning
Experiment report: Breeze TTS 2 LoRA and Full Fine-Tuning for Singapore English
Related model: Instavar SG Narration LoRA R8
Collection: Breeze TTS 2 fine-tuning by Instavar
Evaluation
In a matched reference-free comparison, this checkpoint reached mean ECAPA speaker similarity 0.6973 and WER 0.0467. The LoRA adapter reached 0.6810 and the same WER. The paired ECAPA interval crossed zero, so the objective study did not establish a winner.
One listener preferred LoRA for cadence and long-form listening, with three short-prompt ties. Both releases mispronounced a tested local word. These results do not establish faithful identity cloning, general Singaporean-accent coverage, production fitness, or broad listener preference.
Licence and responsible use
The included BreezeBlue agreement permits research and non-commercial use only. Do not use this artifact for a product, paid service, client work, advertising, revenue generation, production deployment, impersonation, deception, or voice cloning without legally sufficient consent and recording rights.
Review LICENSE, NOTICE, PROVENANCE.json, and SHA256SUMS before use.