Datasets:
File size: 3,258 Bytes
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---
language:
- ta
size_categories:
- 100K<n<1M
task_categories:
- automatic-speech-recognition
pretty_name: Speech to Text (cleaned)
dataset_info:
features:
- name: path
dtype: string
- name: sentence
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
splits:
- name: train
num_bytes: 7336930447.304
num_examples: 224581
- name: validation
num_bytes: 1796570819.462
num_examples: 56146
- name: test
num_bytes: 1030720788.984
num_examples: 31192
download_size: 10119221124
dataset_size: 10164222055.749998
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Dataset Card for Dataset Name
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
This dataset is a combination of the Common Voice 16.0 and Open SLR datasets which is of **534 hours**. It has been meticulously curated, normalized to a **16kHz** sampling rate, and cleaned for better usability. This dataset aims to provide a comprehensive collection of speech data for various applications, including speech recognition, natural language processing, and machine learning research.
- **Curated by:** Prajwal N. Pharande
- **Language:** Tamil
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://commonvoice.mozilla.org/ta/datasets and https://www.openslr.org/127/
## Uses
This dataset can be used for a wide range of applications, including:
- Speech recognition system training and evaluation
- Natural language processing tasks involving spoken language
- Machine learning research on speech-related problems
- Voice synthesis and voice cloning experiments
## Dataset Structure
- ```path : Name of audio file which is converted into array.```
- ```audio : Dictionary contaning path, array and sampling rate of an audio file.```
- ```sentence : Transcription of an audio file in Tamil language. ```
## Dataset Creation
#### Data Collection and Processing
- Audio converted to arrays : All audio samples have been normalized to a 16kHz sampling rate, ensuring consistency and high quality across the dataset.
- Diverse Sources : The dataset combines data from Common Voice and Open SLR, providing a diverse range of voices, accents, and languages.
- Cleaned Data : Extensive efforts have been made to clean the data, removing noise, punctuations, duplicates, and irrelevant metadata, to enhance usability and accuracy.
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
- ```Mozilla``` : A large-scale, publicly available dataset of speech data collected by Mozilla, contributed by volunteers worldwide.
- ```Open SLR``` : Various open speech and language resources collected and shared by the open-source community through Open Speech and Language Resources.
## Dataset Card Authors
*Prajwal N. Pharande*
## Dataset Card Contact
pharandeprajwal@gmail.com |