| """ | |
| Example use of the scorer utility to inspect data. | |
| (pre-trained models and already cache files with extracted features are required.)""" | |
| from Utility.Scorer import TTSScorer | |
| from Utility.path_to_transcript_dicts import * | |
| from Utility.storage_config import MODELS_DIR | |
| from Utility.storage_config import PREPROCESSING_DIR | |
| exec_device = "cuda:8" | |
| lang_id = "fon" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_fon_alf"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "hau" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_hausa_cmv"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "lbb" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_ibibio_lst"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "kik" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_kikuyu_opb"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "lin" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_lingala_opb"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "lug" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_ganda_cmv"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "luo" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_luo_afv"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "luo" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_luo_opb"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "swh" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_swahili_llsti"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "sxb" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_suba_afv"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "wol" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_wolof_alf"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "yor" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "african_voices_yoruba_opb"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "nya" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "zambezi_voice_nyanja"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "loz" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "zambezi_voice_lozi"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |
| lang_id = "toi" | |
| tts_scorer = TTSScorer(path_to_model=os.path.join(MODELS_DIR, "ToucanTTS_Massive", "best.pt"), device=exec_device) | |
| tts_scorer.score(path_to_toucantts_dataset=os.path.join(PREPROCESSING_DIR, "zambezi_voice_tonga"), lang_id=lang_id) | |
| tts_scorer.show_samples_with_highest_loss(20) | |
| tts_scorer.remove_samples_with_highest_loss(5) | |