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/")
```