Hebrew Media Audio Dataset
Project Overview:
Objective
The “Hebrew Media Audio Dataset” project is dedicated to creating a comprehensive audio dataset for advancing speech recognition technologies in Hebrew. This dataset aims to facilitate the development of systems capable of understanding and processing Hebrew speech in media contexts, such as news broadcasts, entertainment, and online content.
Scope
This initiative encompasses the collection and annotation of Hebrew audio samples from diverse media sources.
Sources
- 1. Audio content was sourced from national and regional Hebrew media outlets.
- 2. Collaborations with various broadcasting networks and digital media platforms were instrumental in acquiring a rich and varied collection of audio samples.
- 3. The collected data successfully generated a diverse and authentic set of Hebrew audio interactions, showcasing the nuances of language and cultural expressions.
Data Collection Metrics
- Total Audio Clips Collected: 25,000
- From Volunteers: 15,000
- From Media Sources: 7,000
- Professional Narrators: 3,000
- Random Volume: 80,000 minutes of audio content
Annotation Process
Stages
- Content Categorization: Label each audio clip with relevant categories like news, entertainment, or educational content.
- Speech Recognition Tags: Annotate audio samples with transcripts, timestamps, and speaker identities.
- Metadata Logging: Document metadata such as recording quality, source, and dialect variations.
Annotation Metrics
- Annotated Audio Clips: 25,000
- Metadata Entries: 25,000
Quality Assurance
Stages
Annotation Review: Implement a rigorous review process with language experts to ensure the accuracy of annotations.
Data Quality Monitoring: Regular checks to maintain high-quality audio and precise transcriptions.
Privacy Compliance: Uphold strict privacy guidelines, ensuring all data is collected and processed ethically.
QA Metrics
- Reviewed Annotations: 2,500 (10% of total)
- Data Cleansing: Ongoing removal and enhancement of audio quality
Conclusion
The “Hebrew Media Audio Dataset” is a pivotal resource for advancing Hebrew speech recognition technology. With a vast collection of diverse, accurately annotated audio samples, this dataset is instrumental in developing sophisticated speech recognition systems. It plays a significant role in enhancing media content accessibility, language learning tools, and automated transcription services in Hebrew, fostering technological growth and linguistic inclusivity.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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