metadata
dataset_info:
features:
- name: file_name
dtype: string
- name: url
dtype: string
- name: Dilgo_kyentse_Rinpoche_model_inference
dtype: string
- name: audio_duration
dtype: float64
- name: Human_transcript
dtype: string
- name: General_model_inference
dtype: string
- name: situ_rinpoche_model_inference
dtype: string
splits:
- name: train
num_bytes: 791538
num_examples: 552
download_size: 266432
dataset_size: 791538
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Tibetan ASR Model Comparison: Garchen Rinpoche Dataset
Dataset Information
- Content: Garchen Rinpoche Tibetan teachings
- Samples: 552 audio segments
- Duration: 1.21 hours total
- Metrics used: Character Error Rate (CER), Word Error Rate (WER), Syllable Error Rate (SER)
Model Performance Summary
General STT Model
- Model: OpenPecha General Tibetan STT
- Character Error Rate: 27.53%
- Word Error Rate: 57.24%
- Syllable Error Rate: 51.15%
- Major Error Type: Word substitutions (75%)
Situ Rinpoche Model
- Model: OpenPecha Situ Rinpoche ASR
- Character Error Rate: 28.92%
- Word Error Rate: 60.68%
- Syllable Error Rate: 53.68%
- Major Error Type: Word substitutions (75%)
Dilgo Khyentse Model
- Model: OpenPecha Dilgo Khyentse ASR
- Character Error Rate: 65.96%
- Word Error Rate: 92.63%
- Syllable Error Rate: 91.55%
- Major Error Type: High proportion of deletions (33%)
Detailed Documentation here
Dataset Statistics
Configuration: default
Split: train
Total Rows: 552
audio_duration
- Type: numerical
- Data Type:
float64 - Sum: 4,362.82
- Average: 7.90