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488 Hours Spanish Speech Dataset for ASR Training – Spain Telephony Conversations
spanish speech dataset
spanish audio dataset
spanish speech corpus
spanish voice dataset
conversational ai training data
This dataset contains 488 hours of Spanish conversational telephone speech recorded through topic-guided spontaneous dialogues across more than 20 domains. It includes recordings from 600 native Spanish speakers and provides transcripts, timestamps, speaker IDs, gender, age, and additional metadata. It is suitable for Automatic Speech Recognition (ASR), speech-to-text, conversational AI, voice AI, speaker diarization, telephony speech analytics, and multilingual speech model training. 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
8kHz 8bit, a-law/u-law pcm, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Telephony
Country
Spain(ESP)
Language(Region) Code
es-ES
Language
Spanish
Speaker
600 people in total, 49% male and 51% female
Features of annotation
Transcription text, timestamp, speaker ID, gender
Accuracy rate
Word accuracy rate(WAR) 98%
Sample
Audio
A ti, si tuvieras que decir algún, un alimento, ¿cuál escogerías? Por ejemplo, vamos a empezar con, ah, uno que te guste y luego ya te explico yo otro que me gusta.
Audio
Porque creo que tienen un sabor súper
Audio
A ver, si tengo que elegir sobre un alimento en concreto sin tener que escoger un plato de comida
Audio
Así que la verdad que el queso de oveja es mi preferido y mm, y me encanta.
Audio
bueno, que se te queda en el paladar, luego después de tragarte incluso se te queda en la boca.
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.