Alexa Wake Words in Mexican Spanish (Adults)

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Project Overview:

Objective

Our team has successfully built a comprehensive dataset of audio clips featuring the “Alexa” wake word as articulated in Mexican Spanish by adults. This dataset is specifically tailored to enhance wake word detection systems and voice assistants for this demographic.

Scope

We undertook a large-scale data collection project, gathering a wide range of audio recordings from diverse Mexican Spanish speakers. Our focus was on capturing variations in environments and accents to ensure a robust dataset. Moreover, the collected data was meticulously annotated with precise wake word annotations, aligning with our commitment to delivering high-quality datasets for machine learning models.

Sources

Voice Assistant Users: Collaborate with Alexa users who are willing to share audio clips of themselves saying “Alexa” in different situations.
Voice Actors: Hire professional voice actors to create recordings of the wake word “Alexa” in Mexican Spanish, which will add more diversity.
Public Domain Recordings: Look for publicly available audio recordings that include instances of the “Alexa” wake word in Mexican Spanish and use them.

Data Collection Metrics

Total Audio Clips Collected and Annotated: 50,000 clips
User Contributions: 30,000
Voice Actor Recordings: 15,000
Public Domain Extracts: 5,000

Annotation Process

Stages

Wake Word Annotation: Each audio clip was carefully reviewed to mark the temporal boundaries of the “Alexa” wake word.
Speaker Demographics: We collected detailed metadata about the contributors, including age, accent, and gender.
Recording Conditions: Information regarding ambient noise levels and recording devices used was meticulously documented.

Annotation Metrics

Audio Clips with Wake Word Annotations: 50,000
Speaker Demographics: 50,000
Recording Condition Metadata: 50,000

Quality Assurance

Stages

Our quality assurance process involved rigorous annotation verification, using both automated tools and human reviewers. This ensured the highest precision in wake word annotations. Additionally, we prioritized user consent, ensuring that all user-contributed audio clips were included in the dataset with explicit permission. Furthermore, our approach to privacy compliance followed stringent data protection policies. We provided mechanisms for contributors to opt-out or request data removal.

QA Metrics

Annotation Validation Cases: 4,000 (10% of total)
Privacy Audits: 25,000 (for user-contributed data)

Conclusion

The Alexa Wake Words Dataset in Mexican Spanish (Adults) highlights our expertise in data collection and annotation. This dataset clearly demonstrates our ability to create valuable resources for voice recognition and natural language processing research and development. Additionally, by focusing on diversity and meticulous annotations, as well as strictly adhering to privacy norms, we emphasize our commitment to delivering high-quality datasets for AI and machine learning applications.