README.md

---
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/