README.md

metadata

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 HuggingFace Dataspeech using Malay dataset

This is combination of mesolitica/tts-azure-annotated and mesolitica/tts-gtts-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.

Source code

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