CommonPhone-SE

Multilingual, age and gender balanced subset for speech enhancement benchmark.

Dataset Details

Dataset Description

Commonphone-SE is a benchmark dataset derived from Commonphone. It contains audio samples from 7 languages in the age range from 18 to 80. It aims to provide a speaker diverse dataset to benchmark speech enhancement algorithms in real world conditions.

• Curated by: LangTech Lab members from the speech team.
• Language(s) (NLP): CA, DE, EN, IT, FR, RU, ES
• License: cc0-1.0

Dataset Sources

CommonPhone-SE is a subset of CommonPhone.

• Repository: https://zenodo.org/records/5846137
• Paper : https://arxiv.org/abs/2201.05912

Languages

Catalan(CA), Deutsch(DE), English(EN), Italian(IT), French(FR), Russian(RU), Spanish(ES)

Uses

The goal of this dataset is to evaluate the generalization capabilities of speech enhancement models in a real world multilingual and diverse dataset.

Dataset Structure

The dataset consists of a single split, providing audios, transcriptions and demographic information

Dataset({
    features: ['filename', 'gender', 'age', 'language', 'text', 'audio'],
    num_rows: 5242
})

Each data point is structured as:

{'filename': 'common_voice_ca_31498257',
 'gender': 'female',
 'age': 'fifties',
 'language': 'ca',
 'text': 'lieutenant monroe va resultar ferit durant la batalla i va servir posteriorment al congrés',
 'audio': {'path': 'Commonphone-SE/common_voice_ca_31498257.wav',
 'array': array([0., 0., 0., ..., 0., 0., 0.]),
 'sampling_rate': 16000}}

Dataset Creation

Curation Rationale

The sampling rationale was to select audios that remain difficult for state of the art enhancement models, both in terms of speech quality metrics and content preservation, hence, we selected the worst 40 examples w.r.t. to UTMOS, SCOREQ and WIL per each language, age band and gender. Finally, the duplicates were dropped to arrive at a final evaluation dataset of 8.24 hours.

Source Data

Crowdsourced audios recorded by volunters for CommonVoice that were selected in the CommonPhone dataset.

Data Collection and Processing

Who are the source data producers?

Common Phone is maintained and distributed by speech researchers at the Pattern Recognition Lab of Friedrich-Alexander-University Erlangen-Nuremberg (FAU)

Personal and Sensitive Information

Like for Common Voice, you must not make any attempt to identify speakers that contributed to CommonPhone-SE.

Bias, Risks, and Limitations

The dataset was built trying to mitigate the bias on gender and age variables, however, it can still be biased towards the degradations found in the commonvoice corpus. Althoug this dataset has a lot of diversity the style is only reading speech.

Citation

If you use the dataset please cite

BibTeX:

@inproceedings{giraldo25_interspeech,
  title     = {{Evaluating Speech Enhancement Performance Across Demographics and Language}},
  author    = {{Jose Giraldo and Alex Peiró-Lilja and Carme Armentano-Oller and Rodolfo Zevallos and Cristina España-Bonet}},
  year      = {{2025}},
  booktitle = {{Interspeech 2025}},
  pages     = {{1353--1357}},
  doi       = {{10.21437/Interspeech.2025-1760}},
  issn      = {{2958-1796}},
}

Dataset Card Authors

Funding

This work has been promoted and financed by the Generalitat de Catalunya through the Aina project and also by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación,Transformación y Resiliencia - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215337

Dataset Card Contact

[email protected]