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Home > All Category Datasets > Speech Recognition Datasets > 88 Hours Mexican Spanish Speech Dataset for ASR – Telephone Conversations

88 Hours Mexican Spanish Speech Dataset for ASR – Telephone Conversations

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

This dataset contains 88 hours of Mexican Spanish conversational speech recorded through topic-guided spontaneous dialogues. It includes recordings from 122 native Mexican Spanish speakers. Each recording includes high-quality transcripts, timestamps, speaker IDs, gender, 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
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
Mexico(MEX)
Language(Region) Code
es-MX
Language
Spanish
Speaker
122 people in total, 53% male and 47% female
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 98%
Sample Sample
  • Audio

    y tiene que atrapar el frisbee con las manos, en el momento que lo atrape, eh, del otro lado del campo del contrario, ese se cuenta como anotación.

  • Audio

    en, en este no es como, no hay como una portería al cual hacer un gol, sino que nada más tienen que llegar,

  • Audio

    o lanzar el frisbee del otro lado, un con, un jugador de tu equipo tiene que estar del otro lado de la línea de anotación,

  • Audio

    entonces, lo que pretende este juego es, rescatar el espíritu deportivo.

  • Audio

    los mismos integrantes de ambos equipos se divide el juego en dos equipos y tienen que llegar, llevar,

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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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