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338 Hours Multi-Accent Spanish Speech Dataset for ASR – Read Audio from 800 Speakers
spanish speech dataset
spanish speech corpus
spanish voice dataset
spanish language speech dataset
multi accent spanish speech dataset
This dataset contains 338 hours of scripted Spanish monologue speech recorded by 800 native speakers from Spain, Mexico, Chile, Argentina, and other Spanish-speaking regions. The balanced speaker pool includes 49% male and 51% female speakers. The recordings are based on predefined prompts and cover news, commentary, encyclopedia-style content, finance, science, and legal domains. Each audio file includes a transcript, three types of noise labels, special identifiers, and additional 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
News, comments, encyclopedia, economy, science and law etc.;
Recording condition
Low background noise (indoor), without echo;
Recording device
Android mobile phone: iPhone=1.2:1;
Speaker
800 people in total, from Spain, Mexico, Chile and Argentina etc., 49% male and 51% female;
Country
Spain(ESP), Mexico(MEX), Chile(CIL) and Argentina(ARG) etc.;
Language
Spanish;
Features of annotation
Transcription text, 3 noise symbols, special identifiers;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)
Sample
Audio
Esperamos poder contar con su asistencia en nuestro próximo evento
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.