Hinglish media Audio Dataset
Project Overview:
Objective
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.
Scope
- 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.
Sources
- 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.
Data Collection Metrics
- Total Hinglish Recordings: 22,500
- Volunteers’ Contributions: 15,000
- Public Domain Datasets: 4,500
- Professional Recordings: 3,000
Annotation Process
Stages
- Language Identification: Labeling each recording with predominant language indicators (Hindi, English, or Mixed).
- 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
Quality Assurance
Stages
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
Conclusion
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 Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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