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Home > All Category Datasets > Speech Recognition Datasets > 346 Hours Mexican Spanish Speech Dataset for Conversational AI & Voice AI

346 Hours Mexican Spanish Speech Dataset for Conversational AI & Voice AI

mexican spanish asr dataset
mexican spanish audio dataset
mexican spanish speech dataset
mexican spanish speech corpus
mexican spanish voice dataset

This dataset contains 346 hours of Mexican Spanish conversational speech recorded through topic-guided spontaneous dialogues using smartphones. It covers more than 20 domains and includes recordings from 338 native Mexican Spanish speakers. Each recording includes high-quality transcripts, timestamps, speaker IDs, gender, age, noise labels, and additional 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.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel;
Content category
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
338native speakers in total, 45% male and 55% female;
Country
Mexico(MEX);
Language(Region) Code
es-MX;
Language
Spanish;
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise,PII redacted.
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Sample Sample
  • Audio

    Doy esta clase cuatro semestres,

  • Audio

    porque doy la asignatura de desarrollo físico y salud.

  • Audio

    Pues más o menos, qué crees que este es un tema que yo trabajo regularmente con mis alumnos

  • Audio

    sentirte bien físicamente en movilidad,

  • Audio

    físico del, del cuerpo, o sea,

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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.

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