CoolFace
Datasetpublic

PeterPatrick/swahili-tts-rose

language: - sw license: apache-2.0 task_categories: - text-to-speech task_ids: - speech-synthesis tags: - swahili - tts - speech-synthesis - audio - kiswahili - rose - female-voice --- # Swahili TTS Dataset - Rose A Swahili text-to-speech dataset featuring 500 high-quality audio recordings by female speaker Rose. ## Dataset Description A comprehensive Swahili text-to-speech dataset featuring **500 high-quality audio recordings** by a female speaker named Rose. ### Dataset Summary -… See the full description on the dataset page: https://huggingface.co/datasets/PeterPatrick/swahili-tts-rose.

sourceHugging Faceupdated 11mo agoView on Hugging Face
0likes11downloads
Dataset Card

language:

  • —sw license: apache-2.0 task_categories:
  • —text-to-speech task_ids:
  • —speech-synthesis tags:
  • —swahili
  • —tts
  • —speech-synthesis
  • —audio
  • —kiswahili
  • —rose
  • —female-voice ---

# Swahili TTS Dataset - Rose

A Swahili text-to-speech dataset featuring 500 high-quality audio recordings by female speaker Rose.

## Dataset Description

A comprehensive Swahili text-to-speech dataset featuring 500 high-quality audio recordings by a female speaker named Rose.

### Dataset Summary

  • —Total Samples: 500
  • —Train Samples: 450
  • —Validation Samples: 50
  • —Language: Swahili (sw)
  • —Speaker: Female (Rose)

### Text Statistics

  • —Average text length: 22.9 characters
  • —Shortest text: 12 characters
  • —Longest text: 63 characters
  • —Average words per sentence: 3.4 words

### Sample Texts

  • —"Hujambo Mimi ni Rose Ninaweza kukusaidiaje leo"
  • —"Kutafuta mikahawa iliyo karibu"
  • —"Kufuta noti ya mwisho"
  • —"Kuzima alamu"
  • —"Kusoma vichwa vya habari"
  • —"Kukagua muunganisho wa internet"
  • —"Kufuta barua pepe ya mwisho"
  • —"Kusinzia alamu"
  • —"Kuanza video tena"
  • —"Kutengeneza noti mpya"
  • —"Kuweka picha kwenye instagramu"
  • —"Anza kurekodi video"
  • —"Mode ya giza imewashwa"
  • —"Ninasoma ujumbe wako wa mwisho"
  • —"Hujambo Mimi ni Rose Ninaweza kukusaidiaje leo"

## Usage

python
    from datasets import load_dataset

    dataset = load_dataset("PeterPatrick/swahili-tts-rose")
    train_dataset = dataset['train']
    val_dataset = dataset['validation']