Published April 29, 2024 | Version 1.1.0
Dataset Restricted

Okey Aura Wake-up Word Dataset

Authors/Creators

  • 1. Amazon AGI
  • 2. Telefónica Innovación Digital
  • 3. Stanford University
  • 4. Universitat de Barcelona

Description

Speech dataset for wake-up word (WuW) detection in Telefónica's home assistant, Aura. It contains 1247 utterances (1.4 hours) from ~80 speakers. Speakers pronounce the wake-up word itself "Okey Aura", plus other sentences that might be similar, or not, to "Okey Aura".

This dataset contains rich metadata annotations, so it is possible to study diverse factors and biases that might affect wake-up word detection performance: accent, gender, prosody/emotion, room size, distance to the microphone, etc. Besides, it also contains recordings of sentences that are phonetically similar to "Okey Aura", like "Porque Laura..." or "... como Aura...", to experiment with difficult sentences. 

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

The record is publicly accessible, but files are restricted to users with access.

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions for this request to be accepted:

Users are asked to sign an End-User License Agreement (EULA), in order to grant them access to the OK Aura Wake-up Word Dataset download. Please, request the EULA by writing to the following e-mail: 
wiliam.lopezgavilanez@telefonica.com
jordi.luque@telefonica.com
Thanks!

You are currently not logged in. Do you have an account? Log in here

Additional details

Related works

Is published in
Journal article: 10.3390/app12041974 (DOI)

Funding

Next Generation Infrastructures
INGENIOUS – The First Responder (FR) of the Future: a Next Generation Integrated Toolkit (NGIT) for Collaborative Response, increasing protection and augmenting operational capacity 833435

Dates

Available
2024-04-29

References

  • Cámbara, G.; López, F.; Bonet, D.; Gómez, P.; Segura, C.; Farrús, M.; Luque, J. TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants . Appl. Sci. 2022, 12, 1974. https://doi.org/10.3390/app12041974