Indian English Media Audio Database
Project Overview:
Objective
The “Indian English Media Audio Database” initiative aims to create a comprehensive collection of Indian English audio recordings. This dataset will be used to train machine learning models to understand and process the unique aspects of Indian English accents, dialects, and linguistic nuances. Consequently, it is a crucial tool for improving speech recognition software and other AI applications.
Scope
Our project includes a diverse range of Indian English audio sources. We have carefully recorded and collected audio clips from different demographics to ensure both diversity and authenticity. The collection features dialogues, monologues, and conversational snippets, showcasing the rich variety of Indian English.
Sources
- Media Clips: 8,000 (from news, podcasts, and interviews)
- Public Interactions: 7,000 (from social media, public speeches, and events)
- Professional Narratives: 5,000 (from audiobooks, documentaries, and educational content)
Data Collection Metrics
- Total Audio Samples Collected: 20,000
- Formal Speech Settings: 10,000
- Informal Speech Settings: 10,000
Annotation Process
Stages
- Accent Classification: We annotate each audio clip with clear accent markers, regional tags, and speech patterns, helping to distinguish different linguistic features.
- Content Tagging: Tags for each recording include the topic, emotion, and style of speech, making it easy to locate specific types of content.
Annotation Metrics
- Accented Speech Samples Annotated: 20,000
- Contextual Tags Applied: 18,000
Quality Assurance
Stages
Annotation Review: A team of language experts carefully checks the annotations to make sure they are accurate, ensuring the dataset is trustworthy.
Audio Quality Check: We thoroughly screen recordings to remove any with poor sound quality or background noise.
Data Privacy Compliance: We strictly follow data protection rules to ensure all recordings are ethically sourced and handled.
QA Metrics
- Verified Annotations: 17,000 recordings
- High-Quality Audio Selection: 95% of the collected dataset
Conclusion
The “Indian English Media Audio Database” is a groundbreaking project by our team, setting a new standard in speech dataset collection and annotation. With over 20,000 well-annotated audio clips, this database is poised to transform how AI systems understand and interact with Indian English. Moreover, it demonstrates our dedication to providing high-quality, diverse datasets that meet the specific needs of AI development in the language domain.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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