Automatic Speech Recognition
Transformers
Safetensors
Saisiyat
wav2vec2
formosanbank
formosan
endangered-languages
speech
asr
xlsr53
tacl
Instructions to use FormosanBank/formosan-asr-saisiyat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-saisiyat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-saisiyat")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-saisiyat") model = AutoModelForCTC.from_pretrained("FormosanBank/formosan-asr-saisiyat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "aggregate": { | |
| "cer_normalized_micro": 0.0792860273317662, | |
| "character_errors": 3980, | |
| "corpora": 5, | |
| "reference_characters": 50198, | |
| "reference_words": 8748, | |
| "utterances": 1189, | |
| "wer_normalized_micro": 0.2293095564700503, | |
| "word_errors": 2006 | |
| }, | |
| "by_corpus": [ | |
| { | |
| "cer_normalized": "0.08096", | |
| "cer_raw": "0.08096", | |
| "char_deletions": "682", | |
| "char_deletions_raw": "682", | |
| "char_insertions": "482", | |
| "char_insertions_raw": "482", | |
| "char_substitutions": "621", | |
| "char_substitutions_raw": "621", | |
| "eval_corpus": "ILRDF", | |
| "eval_language": "saisiyat", | |
| "eval_utterances": "610", | |
| "reference_characters": "22048", | |
| "reference_characters_raw": "22048", | |
| "reference_words": "3766", | |
| "reference_words_raw": "3766", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "wer_normalized": "0.21163", | |
| "wer_raw": "0.21163", | |
| "word_deletions": "108", | |
| "word_deletions_raw": "108", | |
| "word_insertions": "77", | |
| "word_insertions_raw": "77", | |
| "word_substitutions": "612", | |
| "word_substitutions_raw": "612" | |
| }, | |
| { | |
| "cer_normalized": "0.283092", | |
| "cer_raw": "0.283092", | |
| "char_deletions": "542", | |
| "char_deletions_raw": "542", | |
| "char_insertions": "304", | |
| "char_insertions_raw": "304", | |
| "char_substitutions": "403", | |
| "char_substitutions_raw": "403", | |
| "eval_corpus": "NTU", | |
| "eval_language": "saisiyat", | |
| "eval_utterances": "104", | |
| "reference_characters": "4412", | |
| "reference_characters_raw": "4412", | |
| "reference_words": "877", | |
| "reference_words_raw": "877", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "wer_normalized": "0.651083", | |
| "wer_raw": "0.651083", | |
| "word_deletions": "89", | |
| "word_deletions_raw": "89", | |
| "word_insertions": "40", | |
| "word_insertions_raw": "40", | |
| "word_substitutions": "442", | |
| "word_substitutions_raw": "442" | |
| }, | |
| { | |
| "cer_normalized": "0.028431", | |
| "cer_raw": "0.028431", | |
| "char_deletions": "18", | |
| "char_deletions_raw": "18", | |
| "char_insertions": "10", | |
| "char_insertions_raw": "10", | |
| "char_substitutions": "30", | |
| "char_substitutions_raw": "30", | |
| "eval_corpus": "ePark1", | |
| "eval_language": "saisiyat", | |
| "eval_utterances": "75", | |
| "reference_characters": "2040", | |
| "reference_characters_raw": "2040", | |
| "reference_words": "343", | |
| "reference_words_raw": "343", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "wer_normalized": "0.151603", | |
| "wer_raw": "0.151603", | |
| "word_deletions": "6", | |
| "word_deletions_raw": "6", | |
| "word_insertions": "2", | |
| "word_insertions_raw": "2", | |
| "word_substitutions": "44", | |
| "word_substitutions_raw": "44" | |
| }, | |
| { | |
| "cer_normalized": "0.02624", | |
| "cer_raw": "0.02624", | |
| "char_deletions": "77", | |
| "char_deletions_raw": "77", | |
| "char_insertions": "27", | |
| "char_insertions_raw": "27", | |
| "char_substitutions": "24", | |
| "char_substitutions_raw": "24", | |
| "eval_corpus": "ePark2", | |
| "eval_language": "saisiyat", | |
| "eval_utterances": "106", | |
| "reference_characters": "4878", | |
| "reference_characters_raw": "4878", | |
| "reference_words": "824", | |
| "reference_words_raw": "824", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "wer_normalized": "0.106796", | |
| "wer_raw": "0.106796", | |
| "word_deletions": "16", | |
| "word_deletions_raw": "16", | |
| "word_insertions": "8", | |
| "word_insertions_raw": "8", | |
| "word_substitutions": "64", | |
| "word_substitutions_raw": "64" | |
| }, | |
| { | |
| "cer_normalized": "0.045184", | |
| "cer_raw": "0.045184", | |
| "char_deletions": "371", | |
| "char_deletions_raw": "371", | |
| "char_insertions": "245", | |
| "char_insertions_raw": "245", | |
| "char_substitutions": "144", | |
| "char_substitutions_raw": "144", | |
| "eval_corpus": "ePark3", | |
| "eval_language": "saisiyat", | |
| "eval_utterances": "294", | |
| "reference_characters": "16820", | |
| "reference_characters_raw": "16820", | |
| "reference_words": "2938", | |
| "reference_words_raw": "2938", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "wer_normalized": "0.169503", | |
| "wer_raw": "0.169503", | |
| "word_deletions": "82", | |
| "word_deletions_raw": "82", | |
| "word_insertions": "48", | |
| "word_insertions_raw": "48", | |
| "word_substitutions": "368", | |
| "word_substitutions_raw": "368" | |
| } | |
| ], | |
| "condition": "language_pooled", | |
| "dataset_version": "dataset_v1", | |
| "iso_639_3": "xsy", | |
| "language": "Saisiyat", | |
| "language_id": "saisiyat", | |
| "model_family": "xlsr53", | |
| "normalization_version": "formosan_safe_v1", | |
| "readiness": { | |
| "actual_train_rows": 9473, | |
| "best_selection_cer": 0.09279681756460974, | |
| "best_selection_wer": 0.2676440207226045, | |
| "best_step": 14210, | |
| "condition": "language_pooled", | |
| "dominant_hypothesis_rate": 0.001682085786375105, | |
| "estimated_effective_epochs": 30.000211126359126, | |
| "failures": 0, | |
| "generated_at": "2026-06-23T08:17:51+00:00", | |
| "intended_train_rows": 9473, | |
| "manifest_dir": "/projects/prudlab/tacl_formosan_asr/experiments/manifests/gate4_xlsr_supervised_matrix/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "nonempty_hypothesis_rate": 0.9991589571068125, | |
| "prediction_rows": 1189, | |
| "result_dir": "/scratch/scheppat/projects/tacl_formosan_asr/runs_xlsr_final_v2/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "result_label": "final", | |
| "run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13", | |
| "status": "pass", | |
| "steps": 35524, | |
| "test_rows": 1189, | |
| "train_batch_size": 8, | |
| "warnings": 0 | |
| }, | |
| "seed": 13, | |
| "split_version": "split_v2" | |
| } | |