IndoLearner-English Speech Corpus

Description

This dataset contains text-to-speech recordings from 17 English language learners with various social backgrounds and dialects among Indonesian speakers.

Specifics

Licensing

Creative Commons Attribution Share Alike 4.0 International (CC-BY-SA-4.0)

https://spdx.org/licenses/CC-BY-SA-4.0.html

Considerations

Restrictions/Special Constraints

The dataset is provided exclusively for scientific, academic, and educational purposes. For commercial use of derivative products or other integration into commercial production systems, we kindly ask you to notify us through a brief and clear introduction on MDC platform and please write an email to: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]

Forbidden Usage

The dataset must not be used for voice identification or voice-type classification (deanonymize/re-identify any speaker in the dataset). It must also not be used to generate, distribute, or facilitate the spread of false information, misinformation, disinformation, or other forms of manipulative content.

Speakers:

There are 17 speakers from different ages between 20 and 30, sociocultural backgrounds, and proficiency levels. There are 6 speakers with advanced and 11 and intermediate level. Most of whom are native bilingual Indonesian and local languages of Indonesia (Bugis, Javanese, Mandar, and Sundanese).

Source:

The source text consists of 1,001 sentences taken from (https://github.com/aconeil/Readability) multilingual readability corpus. The sentences are from OpenSubtitles, and are between 1 and 10 words long.

Size:

Approximately 12 hours (17 files)

Attribution:

This dataset is open to the public with proper source attribution or citation. In addition, the dataset owner accepts compensation in any form either for commercial or non-commercial use.

Adiguna Suwondo, Dhila Damayanti, Diny Opticawati, Jian Alina, Masyhuri Farhan, Muhammad Hasrinur Ridho, Putri Sholikha, Rosyid Hidayatul Fadilah, Sinta Dwi Kurnia, Surti Syafiurahmi, Yunus Aji Lumintang. (2026). IndoLearner-English Speech Corpus [Dataset]. Mozilla Data Collective. URL [dataset link]

Structure:

The dataset contains a TSV file, metadata.tsv, with the following columns:

audio_id: A unique identifier for each audio recording, formatted as speaker_id-recording_id.
speaker_id: A unique identifier assigned to each speaker.
audio_filename: The filename of the corresponding audio recording.
sentence: The text corresponding to the audio recording.
num_attempts: The number of recording attempts made by the speaker. Speakers were asked to read each sentence as fluently as possible and were encouraged to retake the recording if they encountered difficulties during the reading.