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215 Hours Italian Speech Dataset for ASR – Scripted Audio Across 6 Domains
italian voice dataset
italian speech dataset
italian audio dataset
italian asr dataset
italian speech recognition dataset
This dataset contains 215 hours of Italian scripted monologue speech recorded by 325 native Italian speakers. The recordings are based on predefined prompts. The dataset covers economy and business-related content, entertainment, news, informal speech, numbers, alphabet, and other general domains. Each audio file includes a corresponding transcript and supporting speaker metadata. The dataset is suitable for Automatic Speech Recognition (ASR), speech-to-text, multilingual speech model training, and Italian voice AI development. 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.
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.