Hinglish media Audio Dataset

Project Overview:


The “Hinglish Media Audio Dataset” project is designed to create a comprehensive audio dataset that combines Hindi and English languages (Hinglish) for advanced speech recognition applications. This dataset is pivotal for training AI models in understanding and processing mixed-language speech, which is commonly used in various regions, particularly in India.


  • Diverse Environmental Conditions: The dataset includes recordings from a range of environments, from quiet indoor settings to noisy outdoor locations, which helps in training models to accurately process speech under various acoustic conditions.
  • Variety of Speech Contexts: Capturing Hinglish speech in different contexts such as informal conversations, media broadcasts, public speeches, and digital communications, ensuring the models can generalize across different speech situations.
Hinglish media Audio Dataset
Hinglish media Audio Dataset
Hinglish media Audio Dataset
Hinglish media Audio Dataset


  • Audio samples were sourced from a mix of national and regional media outlets, ensuring a representation of both mainstream and niche content.
  • Collaborations with broadcasters and digital platforms were key in acquiring a comprehensive range of Hinglish audio material.
  • The collected data successfully generated a diverse and authentic set of Hinglish audio interactions, capturing the nuances of language and cultural expression.
Hinglish media Audio Dataset
Hinglish media Audio Dataset

Data Collection Metrics

  • Total Hinglish Recordings: 22,500
  • Volunteers’ Contributions: 15,000
  • Public Domain Datasets: 4,500
  • Professional Recordings: 3,000

Annotation Process


  1. Language Identification: Labeling each recording with predominant language indicators (Hindi, English, or Mixed).
  2. Metadata Documentation: Recording details like the date, time, and context of each speech sample.

Annotation Metrics

  • Recordings with Language Labels: 22,500
  • Metadata Entries: 22,500
Hinglish media Audio Dataset
Hinglish media Audio Dataset
Hinglish media Audio Dataset
Hinglish media Audio Dataset

Quality Assurance


Annotation Review: Expert linguists review the labels for accuracy and consistency.
Data Integrity Checks: Filtering out recordings that don’t meet the quality standards.
Data Security: Upholding privacy norms and ensuring data confidentiality.

QA Metrics

  • Reviewed Annotations: 2,250 (10% of total)
  • Data Cleansing: Exclusion of inadequate recordings


The “Hinglish Media Audio Dataset” represents a significant stride in the realm of speech recognition technology. By offering a rich and diverse range of Hinglish audio samples, accurately annotated and quality-assured, this dataset lays the groundwork for sophisticated AI systems capable of understanding and processing mixed-language speech. It’s a step forward in bridging linguistic diversity, particularly beneficial for regions where Hinglish is a prevalent mode of communication.

quality dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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