Alexa Wake Words in Italian (Adults)

Project Overview:

Objective

Our company successfully developed a comprehensive dataset of Italian-language audio clips featuring the “Alexa” wake word. This dataset is now instrumental in advancing wake word detection systems and voice assistants for Italian-speaking adults.

Scope

Our project involved collecting a wide range of audio recordings from Italian-speaking adults. We focused on capturing varied accents and contexts, with each recording meticulously annotated for accurate wake word detection.

Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)

Sources

  • Participants: We engaged with Italian-speaking adults, ensuring their consent, to contribute personal audio clips of the wake word in diverse contexts.
  • Voice Actors: Our team hired professional voice actors fluent in Italian, enhancing the dataset’s diversity with high-quality synthetic wake word recordings.
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)

Data Collection Metrics

  • Total Audio Clips: 20,000
  • Participant Contributions: 12,000
  • Voice Actor Recordings: 8,000
  • Additional Data Points Collected: 15,000

Annotation Process

Stages

  1. Wake Word Annotation: We accurately marked the “Alexa” wake word in each clip, focusing on temporal precision.
  2. Participant Demographics: Our team compiled participant metadata including age, accent, and gender.
  3. Recording Conditions: We documented various recording settings, including ambient noise and equipment used.

Annotation Metrics

  • Audio Clips with Wake Word Annotations: 20,000
  • Participant Demographic Metadata: 20,000
  • Recording Condition Metadata: 20,000
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)
Alexa Wake Words in Italian (Adults)

Quality Assurance

Stages

Annotation Verification: We implemented a stringent validation process, using both automated tools and human reviewers for optimal accuracy.
User Consent and Privacy: Rigorous consent procedures were followed, and we anonymized any personal data to uphold privacy standards.
Compliance: Our operations complied with relevant privacy regulations, offering mechanisms for data withdrawal upon request.

QA Metrics

  • Annotation Validation Cases: 2,000 (10% of total)
  • Privacy Audits: 12,000 (for participant-contributed data)

Conclusion

Our company’s Alexa Wake Words Dataset in Italian (Adults) marks a significant contribution to enhancing voice recognition technology for Italian-speaking users. With a rich variety of recordings, detailed annotations, and strict adherence to privacy standards, this dataset stands as a testament to our expertise in data collection and annotation for AI and machine learning applications.

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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