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347 Hours Italian Speech Dataset for ASR – Read Speech from 800 Native Speakers
italian speech dataset
italian voice dataset
italian asr dataset
italian audio dataset
italian speech recognition dataset
This dataset contains 347 hours of Italian scripted monologue speech recorded by 800 native Italian speakers with a balanced gender distribution. The recordings are based on commonly used sentences. Each audio file includes a corresponding transcript and speaker metadata.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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz, 16bit, uncompressed wav, mono channel;
Content category
Common sentences;
Recording condition
Low background noise (indoor), without echo;
Recording device
Android smartphone, iPhone;
Speaker
800 people from Italy, 47% male and 53% female;
Country
Italy(ITA);
Language(Region) Code
it-IT;
Language
Italian;
Features of annotation
Transcription text, timestamp, 2 noise symbols, 5 special identifiers;
What languages and scenarios are covered by Nexdata’s speech recognition datasets?
Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.
Can Nexdata customize speech recognition datasets for specific languages or requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.
How does Nexdata ensure the quality and scalability of speech recognition datasets?
Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.