---
dataset_info:
  features:
  - name: transcription
    dtype: string
  - name: speaker
    dtype: string
  - name: speaker_id
    dtype: int64
  - name: gender
    dtype: string
  - name: utterance_pitch_mean
    dtype: float64
  - name: utterance_pitch_std
    dtype: float64
  - name: snr
    dtype: float64
  - name: c50
    dtype: float64
  - name: speech_duration
    dtype: float64
  - name: stoi
    dtype: float64
  - name: si-sdr
    dtype: float64
  - name: pesq
    dtype: float64
  - name: pitch
    dtype: string
  - name: speaking_rate
    dtype: string
  - name: noise
    dtype: string
  - name: reverberation
    dtype: string
  - name: speech_monotony
    dtype: string
  - name: prompt
    dtype: string
  - name: audio_filename
    dtype: string
  splits:
  - name: train
    num_bytes: 187085433
    num_examples: 360298
  download_size: 66013072
  dataset_size: 187085433
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Replicating https://github.com/huggingface/dataspeech using Malay dataset

Notebooks at https://github.com/mesolitica/malaysian-dataset/tree/master/text-to-speech/dataspeech

Filtered and splitted to train test set at https://huggingface.co/datasets/huseinzol05/processed-tts-combine-annotated

## Speakers

1. Yasmin, ID 0, female
2. Osman, ID 1, male
3. Bunga, ID 2, female
4. Ariff, ID 3, male
5. Ayu, ID 4, female
6. Kamarul, ID 5, male
7. Danial, ID 6, male
8. Elina, ID 7, female

With total ~713 hours.