notmax123/SententicDataTTS

--- license: other task_categories: - text-to-speech language: - he - en tags: - audio - tts - hebrew - speech size_categories: - 100K<n<1M --- # SententicDataTTS A Hebrew and English TTS dataset with male and female speakers, resampled to 44.1kHz and time-stretched (slowed). ## Audio Generation - **slow_44K.7z** — generated using [Chatterbox](https://github.com/resemble-ai/chatterbox) - **Mamre_generated.7z** — generated using MamreTTS ## Contents ### slow_44K.7z Audio files resampled to 44.1kHz and time-stretched (slowed), containing: - `data/` — audio files (WAV, 44.1kHz, slowed) - CSV metadata files per speaker: - `female1_hebrew_slow_filtered.csv` - `female1_slow_filtered.csv` - `female2_slow_filtered.csv` - `female3_slow_filtered.csv` - `female4_slow_filtered.csv` - `female5_slow_filtered.csv` - `male1_hebrew_slow_filtered.csv` - `male1_slow_filtered.csv` - `male2_slow_filtered.csv` - `male3_slow_filtered.csv` - `male4_slow_filtered.csv` - `male5_slow_filtered.csv` ## Speakers - 5 female speakers - 5 male speakers - Hebrew and English utterances ### Mamre_generated.7z Audio generated with MamreTTS. ### Phoneme Metadata CSVs - `voice1_high_quality_phonemes.csv` — phoneme-level metadata for voice1 high quality recordings - `voice2_improved_phonemes.csv` — phoneme-level metadata for voice2 improved recordings ## Usage ```python import py7zr with py7zr.SevenZipFile("slow_44K.7z", mode="r") as z: z.extractall(path="slow_44K/") with py7zr.SevenZipFile("Mamre_generated.7z", mode="r") as z: z.extractall(path="Mamre_generated/") ```