New York English Media Audio Dataset

Project Overview:

Objective

At the heart of innovation in natural language processing (NLP) and voice recognition lies our ambitious project: the “New York English Media Audio Dataset.” This groundbreaking initiative is dedicated to curating a comprehensive dataset that empowers AI models to understand and converse fluently in the New York English dialect.

Scope

To achieve this linguistic feat, our project entails the collection and meticulous annotation of audio recordings that encapsulate the vibrant tapestry of New York English. From the bustling streets of Manhattan to the neighborhoods of the Bronx, we’re capturing the essence of spoken language in all its diversity.

New York English Media Audio Dataset
New York English Media Audio Dataset
New York English Media Audio Dataset
New York English Media Audio Dataset

Sources

  • Street Interviews: Engaging with New Yorkers from all walks of life, we collect unscripted conversations, capturing the spontaneous expressions and colloquialisms that define the city’s language.
  • Media Archives: We delve into the city’s rich media history, mining audio recordings from local news broadcasts, radio shows, and podcasts to provide a comprehensive linguistic landscape.
  • Social Media: Leveraging the power of social networks, we extract user-generated audio content, reflecting the everyday language usage of New York residents.
New York English Media Audio Dataset
New York English Media Audio Dataset

Data Collection Metrics

  • Total Audio Recordings Collected: 50,000 recordings
  • Street Interviews: 20,000
  • Media Archives: 15,000
  • Social Media: 15,000

Annotation Process

Stages

  1. Transcription: Skilled linguists transcribe each audio recording, capturing not only the words spoken but also the unique pronunciation and intonation patterns.
  2. Dialect Annotation: Linguists with expertise in New York English annotate recordings to identify regional variations, accents, and colloquialisms.

Annotation Metrics

  • Audio Recordings with Transcriptions: 50,000
  • Dialect Annotations: 50,000
New York English Media Audio Dataset
New York English Media Audio Dataset
New York English Media Audio Dataset
New York English Media Audio Dataset

Quality Assurance

Stages

Validation: Our team includes linguistic experts who validate and verify the accuracy of transcriptions and dialect annotations.
Data Curation: We ensure the removal of any recordings with low audio quality or irrelevant content, guaranteeing the dataset’s relevance and reliability.
Data Security: Protecting sensitive audio data is paramount, and we adhere to strict data security protocols and legal compliance.

QA Metrics

  • Validation Cases: 5,000 (10% of total)
  • Data Cleansing: Rigorous data cleansing processes to ensure data quality.

Conclusion

The “New York English Media Audio Dataset” is a transformative resource that opens doors to a new era of AI-driven language understanding. This dataset, meticulously curated with the rich linguistic tapestry of New York City, empowers AI models to engage authentically in conversations and understand the nuances of this vibrant urban dialect. From casual street talk to media broadcasts, our dataset is a game-changer for AI applications in understanding and interacting with the unique linguistic heritage of New York. It’s a vital resource for AI developers, researchers, and language enthusiasts looking to explore the city’s linguistic richness.

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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