This guide covers code signing for both Windows and macOS.
Cloud-based signing via SSL.com eSigner + Jsign. No USB token or YubiKey needed.
| Dataset: | |
| ראינו ג'ירפה גבוהה מאוד אוכלת עלים מהעץ הכי גדול בספארי. ʁaʔˈinu dʒiʁˈafa ɡvohˈa meʔˈod ʔoχˈelet ʔalˈim mehaʔˈets haχˈi ɡadˈol basafˈaʁi. | |
| הילד הקטן התלהב לראות ג'ירפה בסיור המודרך בגן החיות העירוני. hajˈeled hakatˈan hitlahˈev liʁʔˈot dʒiʁˈafa besijˈuʁ hamudʁˈaχ baɡˈan haχajˈot haʔiʁonˈi. | |
| נסענו לטיול במדבר עם ג'יפ חדש וישנו באוהל תחת הכוכבים. nasˈaʔnu letijˈul bamidbˈaʁ ʔˈim dʒˈip χadˈaʃ vejaʃˈanu beʔˈohel tˈaχat hakoχavˈim. | |
| הוא קנה ג'יפ שחור וגדול כדי לנסוע בשטח בסופי השבוע. hˈu kanˈa dʒˈip ʃaχˈoʁ veɡadˈol kedˈej linsˈoʔa baʃˈetaχ besofˈej haʃavˈuʔa. | |
| פתאום ראיתי ג'וק ענק רץ על הרצפה במטבח ונבהלתי ממש. pitʔˈom ʁaʔˈiti dʒˈuk ʔanˈak ʁˈats ʔˈal haʁitspˈa bamitbˈaχ venivhˈalti mamˈaʃ. | |
| we know exactly what are the possible input letters and output chars | |
| input: א-ת |
| """ | |
| uv pip install transformers tqdm | |
| """ | |
| from transformers import AutoTokenizer, AutoModel | |
| from transformers.models.bert.tokenization_bert_fast import BertTokenizerFast | |
| from tqdm import tqdm | |
| in_path = 'input.txt' | |
| out_path = 'output.txt' |
| import pandas as pd | |
| import re | |
| HEBREW_PHONEMES = r'ˈaeioubvdhzχtjklmnsfpʃwʔɡʁʒ' | |
| HEBREW_LETTERS = r"אבגדהוזחטיכךלמםנןסעפףצץקרשת" | |
| HEBREW_WORD_PATTERN = rf'[{HEBREW_LETTERS}]+' | |
| HEBREW_PHONEME_WORD_PATTERN = rf'[{HEBREW_PHONEMES}]+' |
| gold_000_line_000|ʃalˈom tslˈil ʔavʁahˈam. | |
| gold_000_line_001|leɡˈamʁe, madhˈim, lˈo? | |
| gold_000_line_002|vedavkˈa biɡlˈal ʃekulˈanu ʔajˈinu ʔasukˈim bamilχamˈa, hapˈodkast hazˈe ʃelˈanu hˈu hizdamnˈut lehaʃlˈim peʔaʁˈim ʃˈel mˈa ʃekaʁˈa bamiʃpˈat baʃvuʔˈajim haʔaχʁonˈim. | |
| gold_000_line_003|ʔˈaz hajˈom ʔanˈaχnu nedabˈeʁ ʔˈal haχakiʁˈa haneɡdˈit ʃˈel ʔˈilan jeʃuˈa, χakiʁˈa ʃehˈi mamˈaʃ | |
| gold_000_line_004|haʁamˈat masˈaχ meʔˈal svˈaχ ʃˈel ʔinteʁˈesim beʔolˈam hatikʃˈoʁet hajisʁaʔelˈit. | |
| gold_000_line_005|ʃenatχˈil | |
| gold_000_line_006|ʔaɡˈav, kˈol ʔoʁˈeχ dˈin ʔosˈe ʔˈet zˈe benifʁˈad. | |
| gold_000_line_008|vebasˈof jaʔasˈe ʔˈet zˈe ʔoʁˈeχ hadˈin bˈoʔaz bˈentsuʁ ʃehˈu ʔoʁˈeχ hadˈin ʃˈel netanjˈa. | |
| gold_000_line_009|naχˈon. | |
| gold_000_line_011|ʃeʔitonaʔˈim bewˈala lˈo jaχlˈu liχtˈov beʔˈetsem jediʔˈot ʔˈal bˈezek. |
| """ | |
| uv run prepare_ljspeech.py --input_path saspeech_automatic/metadata.csv --output_path saspeech_automatic/metadata1.csv | |
| """ | |
| import argparse | |
| import pandas as pd | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--input_path", type=str, required=True) | |
| parser.add_argument("--output_path", type=str, required=True) |
| Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos. | |
| Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus duis convallis. Tempus leo eu aenean sed diam urna tempor. Pulvinar vivamus fringilla lacus nec metus bibendum egestas. Iaculis massa nisl malesuada lacinia integer nunc posuere. Ut hendrerit semper vel class aptent taciti sociosqu. Ad litora torquent per conubia nostra inceptos himenaeos. | |
| Lorem ipsum dolor sit amet consectetur adipiscing elit. Quisque faucibus ex sapien vitae pellentesque sem placerat. In id cursus mi pretium tellus |
| """ | |
| uv venv -p3.10 | |
| uv pip insatll numpy==1.26.4 soundfile transformers | |
| uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu | |
| """ | |
| from transformers import VitsModel, AutoTokenizer | |
| import torch | |
| import soundfile as sf |
| """ | |
| Hebrew diacritics encoding and decoding | |
| """ | |
| import unicodedata | |
| import re | |
| # Deduplicate duplicate phonetic diacritics | |
| NIQQUD_DEDUPLICATE = { |
| """ | |
| wget https://huggingface.co/datasets/thewh1teagle/hebright/resolve/main/knesset.txt.zip | |
| unzip knesset.txt.zip | |
| uv run main.py | |
| """ | |
| from pathlib import Path | |
| import time | |
| import requests |