OK Aura Wake-up Word Dataset
Guillermo Cámbara, Jordi Luque, David Bonet, López, Fernando, Mireia Farrús, Gómez, Pablo, Segura, Carlos · Zenodo (CERN European Organization for Nuclear Research) · 2021
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 "OK Aura", plus other sentences that might be similar, or not, to "OK 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 "OK Aura", like "Porque Laura..." or "... como Aura...", with the purpose to experiment with difficult sentences.