typhoon-ai/thaimos-tts-annotation

---
dataset_info:
features:
- name: system
dtype: string
- name: file_id
dtype: int64
- name: audio
dtype: audio
- name: text
dtype: string
- name: sound_quality
dtype: int64
- name: silence
dtype: int64
- name: pronunciation
dtype: int64
- name: worker_id
dtype: int64
splits:
- name: train
num_bytes: 1370581078.4
num_examples: 9600
download_size: 141788724
dataset_size: 1370581078.4
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- th
size_categories:
- 1K<n<10K
---

# ThaiMOS (TTS MOS Evaluaution)
- (Older) TTS synthesized speech with human evaluation
- Mean Opinion Score (MOS)
- Annotation was done by Datawow
- Annonation aspect: sound quality, pronunciation, silence
- This dataset was originally developed in 2024 based on older TTS models -- likely that patterns in this data may not be applicable to modern TTS systems.

## Annotation Guideline
In directory pack, there are 12 directories each with 50 utterances.

Each subject carefully listens to an utterance and give the scores in three aspects as follows.
1. Sound_quality (Noise level): คุณภาพของไฟล์เสียงว่ามีเสียงรบกวนหรือเสียง noise ต่างๆมากน้อยขนาดไหน
2. Silence: การเว้นจังหวะหายใจระหว่างประโยคและระหว่่างคำ
3. Pronunciation: การออกเสียงในแต่ละคำว่าออกเสียงได้ถูกต้องในระดับไหน

All aspects are assessed from 1 to 5 (The higher, the better).

- Number of human subjects used for listening each utterance: 5-8 subjects
- Evaluation Conditions
1. The subjects have to be born and raised in Bangkok.
2. The subjects have to be in quiet place to evaluate the speech audio files.