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Datasets:
PHBJT
/
cml-tts-filtered

Tasks:
Text-to-Speech
Modalities:
Audio
Text
Formats:
parquet
Languages:
French
German
Dutch
Size:
1M - 10M
ArXiv:
Libraries:
Datasets
Dask
License:
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metadata
dataset_info:
  - config_name: dutch
    features:
      - name: audio
        dtype: audio
      - name: wav_filesize
        dtype: int64
      - name: text
        dtype: string
      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
        dtype: float64
      - name: num_words
        dtype: int64
      - name: speaker_id
        dtype: int64
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      - name: dev
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        num_examples: 1641
      - name: test
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        num_examples: 1661
    download_size: 101597337669
    dataset_size: 99812751527.10742
  - config_name: french
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      - name: audio
        dtype: audio
      - name: wav_filesize
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      - name: text
        dtype: string
      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
        dtype: float64
      - name: num_words
        dtype: int64
      - name: speaker_id
        dtype: int64
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      - name: dev
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      - name: test
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  - config_name: german
    features:
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        dtype: audio
      - name: wav_filesize
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      - name: text
        dtype: string
      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
        dtype: float64
      - name: num_words
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      - name: speaker_id
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      - name: dev
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      - name: test
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  - config_name: italian
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      - name: wav_filesize
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      - name: text
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      - name: transcript_wav2vec
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      - name: levenshtein
        dtype: float64
      - name: duration
        dtype: float64
      - name: num_words
        dtype: int64
      - name: speaker_id
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      - name: dev
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      - name: test
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  - config_name: polish
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        dtype: audio
      - name: wav_filesize
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      - name: text
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      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
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      - name: num_words
        dtype: int64
      - name: speaker_id
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      - name: dev
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      - name: test
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  - config_name: portuguese
    features:
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        dtype: audio
      - name: wav_filesize
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      - name: text
        dtype: string
      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
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      - name: num_words
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      - name: speaker_id
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      - name: dev
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      - name: test
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    dataset_size: 10463952809.452135
  - config_name: spanish
    features:
      - name: audio
        dtype: audio
      - name: wav_filesize
        dtype: int64
      - name: text
        dtype: string
      - name: transcript_wav2vec
        dtype: string
      - name: levenshtein
        dtype: float64
      - name: duration
        dtype: float64
      - name: num_words
        dtype: int64
      - name: speaker_id
        dtype: int64
    splits:
      - name: train
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      - name: dev
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      - name: test
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        num_examples: 1662
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    dataset_size: 70773048692.97412
configs:
  - config_name: dutch
    data_files:
      - split: train
        path: dutch/train-*
      - split: dev
        path: dutch/dev-*
      - split: test
        path: dutch/test-*
  - config_name: french
    data_files:
      - split: train
        path: french/train-*
      - split: dev
        path: french/dev-*
      - split: test
        path: french/test-*
  - config_name: german
    data_files:
      - split: train
        path: german/train-*
      - split: dev
        path: german/dev-*
      - split: test
        path: german/test-*
  - config_name: italian
    data_files:
      - split: train
        path: italian/train-*
      - split: dev
        path: italian/dev-*
      - split: test
        path: italian/test-*
  - config_name: polish
    data_files:
      - split: train
        path: polish/train-*
      - split: dev
        path: polish/dev-*
      - split: test
        path: polish/test-*
  - config_name: portuguese
    data_files:
      - split: train
        path: portuguese/train-*
      - split: dev
        path: portuguese/dev-*
      - split: test
        path: portuguese/test-*
  - config_name: spanish
    data_files:
      - split: train
        path: spanish/train-*
      - split: dev
        path: spanish/dev-*
      - split: test
        path: spanish/test-*
license: cc-by-4.0
task_categories:
  - text-to-speech
language:
  - fr
  - de
  - nl
  - pl
  - pt
  - es
  - it

Dataset Card for Filtred and CML-TTS

This dataset is a filtred version of a CML-TTS [1].

CML-TTS [1] CML-TTS is a recursive acronym for CML-Multi-Lingual-TTS, a Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG). CML-TTS is a dataset comprising audiobooks sourced from the public domain books of Project Gutenberg, read by volunteers from the LibriVox project. The dataset includes recordings in Dutch, German, French, Italian, Polish, Portuguese, and Spanish, all at a sampling rate of 24kHz.

This dataset was used alongside the LibriTTS-R English dataset and the Non English subset of MLS to train [Parler-TTS Multilingual Mini v1.1. A training recipe is available in the Parler-TTS library.

Motivation

This dataset was filtered to remove problematic samples. In the original dataset, some samples (especially short ones) had incomplete or incorrect transcriptions. To ensure quality, all rows with a Levenshtein similarity ratio below 0.9 were removed.

Note on Levenshtein distance: the Levenshtein distance measures how different two strings are by counting the minimum number of single-character edits (insertions, deletions, or substitutions) needed to transform one string into another.

Usage

Here is an example on how to oad the clean config with only the train.clean.360 split.

from datasets import load_dataset

load_dataset("https://huggingface.co/datasets/PHBJT/cml-tts-cleaned-levenshtein", "french", split="train")

Dataset Description

  • License: CC BY 4.0

Dataset Sources

@misc{oliveira2023cmltts, title={CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages}, author={Frederico S. Oliveira and Edresson Casanova and Arnaldo Cândido Júnior and Anderson S. Soares and Arlindo R. Galvão Filho}, year={2023}, eprint={2306.10097}, archivePrefix={arXiv}, primaryClass={eess.AS} } ```