Alexa Wake Words in Italian (Adults)

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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.

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.

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

Wake Word Annotation: We accurately marked the “Alexa” wake word in each clip, focusing on temporal precision.
Participant Demographics: Our team compiled participant metadata including age, accent, and gender.
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

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.