Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Malayalam
Size:
1K - 10K
DOI:
License:
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| dataset_info: | |
| features: | |
| - name: audio | |
| dtype: audio | |
| - name: speechid | |
| dtype: string | |
| - name: speaker_id | |
| dtype: string | |
| - name: review_score | |
| dtype: int64 | |
| - name: transcript | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| - name: speaker_gender | |
| dtype: string | |
| - name: speaker_age | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 579920220.506 | |
| num_examples: 1541 | |
| download_size: 422956016 | |
| dataset_size: 579920220.506 | |
| license: cc-by-4.0 | |
| task_categories: | |
| - automatic-speech-recognition | |
| language: | |
| - ml | |
| pretty_name: SMC Malayalam Speech Corpus | |
| size_categories: | |
| - 1K<n<10K | |
| # Dataset Card for [msc] | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **https://smc.org.in** | |
| - **https://gitlab.com/smc/msc-reviewed-speech** | |
| - **https://blog.smc.org.in/malayalam-speech-corpus/** | |
| - **Point of Contact: Kavya Manohar** | |
| ### Dataset Summary | |
| - 1541 speech samples | |
| - 75 speech contributors | |
| - 1:38:16 hours of speech | |
| - 482 unique sentences | |
| - 1400 unique words | |
| - 553 unique syllables | |
| - 48 unique phonemes | |
| For more detailed analysis see the python notebook provided [here](https://gitlab.com/smc/msc-reviewed-speech/-/blob/master/analysis/EDA.ipynb) | |
| ### Supported Tasks and Leaderboards | |
| Automatic Speech Recognition system development, gender and age identification of speakers | |
| ### Languages | |
| Malayalam | |
| ## Dataset Structure | |
| - file_name | |
| - speechid | |
| - speaker_id | |
| - review_score | |
| - transcript | |
| - category (optional speech category) | |
| - speaker_gender (optionally self declared) | |
| - speaker_age (optionally self declared) | |
| ### Data Instances | |
| ### Data Fields | |
| ### Data Splits | |
| So specific Splits | |
| ## Dataset Creation | |
| The speech data is collected from volunteer users who read and record their speech through a [web application](https://msc.smc.org.in) using their personal devices. The recorded speech is reviewed (upvote and downvote gives a score of +1 and -1 respectively) by other users. The review score is also published. | |
| ### Curation Rationale | |
| The recorded speech is reviewed (upvote and downvote gives a score of +1 and -1 respectively) by other users. The review score is also published. | |
| ### Curation Rationale | |
| Those speech samples with at least three positive reviews are included in this dataset. | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| The speech data is collected from volunteer contributors who read and record their speech through a [web application](https://msc.smc.org.in). The users optionally provide name, age and gender. There is no further verification. Sentences to read out are curated by MSC Admin. The speech samples are reviewed by other users. | |
| ### Personal and Sensitive Information | |
| Every speaker is identified by a unique alphanumeric id and age and gender are published if the speaker has voluntarily published them. | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| Read speech corpus, recorded in natural environments by the users. | |
| ### Dataset Curators | |
| Kavya Manohar | |
| ### Licensing Information | |
| CC-BY-SA 4.0 | |
| ### Citation Information | |
| ### Contributions | |
| http://msc.smc.org.in/ |