Italian Speech Data by Mobile Phone | 1,260 Hours | Multilingual Language Data
Overview
Italian Speech Data by Mobile Phone | 1,260 Hours | Multilingual Language Data is an audio dataset. It covers Italian. The provider states a volume of 1,260 hours. Typical applications include speech recognition. Relevant sectors: AI & Machine Learning and Education. The listing mentions transcription. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 1,260 hours.
- Listing mentions transcription.
Italian(Italy) Scripted Monologue Smartphone speech dataset, collected from monologue based on given prompts, covering oral; human-machine interaction; smart home command and in-car command; numbers; news domains. Transcribed with text content. Our dataset was collected from extensive and diversify speakers(3,109 native speakers), geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied. Format 16kHz, 16bit, uncompressed wav, mono channel Content category oral category; human-machine interaction category; smart home command and in-car command category; numbers; news category Recording condition Low background noise (indoor) Recording device Android smartphone, iPhone Country Italy(ITA) Language(Region) Code it-IT Language Italian Speaker 3,109 people from Italy, 48% male and 52% female Features of annotation Transcription text Device Android mobile phone, iPhone Accuracy rate Word Accuracy Rate(WAR) 95%
Technical specifications
Related datasets
More in Speech & Audio →10,000+ Hours Italian Spontaneous Dialogue Audio Data | Multi-Speaker with Diarized Transcripts | AI Training & ASR | Format: .WAV / .JSON
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording audio data ‣…
- Language
- Italian
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
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