This dataset features high-quality audio recordings of wake words and voice commands spoken by native Italian speakers from Italy. Each recording is paired with detailed metadata and precise transcriptions, making it ideal for training and evaluating speech recognition and voice assistant models.
Category
Wake Words & Command Recordings
Total Volume
20,000+ recordings
Last updated
July 2025
Number of participants
50+
The Italian Wake Word & Voice Command Dataset is expertly curated to support the training and development of voice-activated systems. This dataset includes a large collection of wake words and command phrases, essential for enabling seamless user interaction with voice assistants and other speech-enabled technologies. It’s designed to ensure accurate wake word detection and voice command recognition, enhancing overall system performance and user experience.
This dataset includes 20,000+ audio recordings of wake words and command phrases. Each participant contributed 400 recordings, captured under varied environmental conditions and speaking speeds. The data covers:
This diversity ensures robust training for real-world voice assistant applications.
Each audio file is accompanied by detailed metadata to support advanced filtering and training needs.
We offer continuous updates and flexible customization to suit your project needs:
This dataset is developed by FutureBeeAI and is available for commercial use.
Wake Word Detection
Command Recognition
Voice Assistant
Dataset Sample(s)
Contact us to get the samples immediately for this dataset.
Language
Italian
Language code
it
Country
Italy
Accents
Asti, Avellino ...moreBari, Barletta-Andria-Trani, Belluno, Benevento, Bergamo, Bologna, Bolzano, Brescia, Brindisi, Cagliari, Caltanissetta, Campobasso, Caserta, Catania, Catanzaro, Chieti, Como, Cosenza, Cremona, Agrigento, Alessandria, Ancona, Arezzo, Ascoli Piceno
Gender Distribution
M:60, F:40
Age Group
18-70 Years
Environment
Silent, Noisy
Bit Depth
16 bit
Sample rate
16kHz
Channel
Monologue
Audio file duration
1 to 15 seconds
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