en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

107 Hours Spanish Speech Dataset with Entity Annotations

spanish ner dataset
spanish speech dataset
entity recognition dataset
speech dataset for ner
enetity annotated speech dataset

This Spanish speech dataset covers a wide range of entity types—such as personal names, phone numbers, addresses, alphanumeric sequences, email addresses, product model numbers, product serial numbers, and monetary amounts—authentically reflecting real-life interaction scenarios, and includes corresponding transcriptions and other attribute information. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, complex tasks; the dataset has undergone quality validation by multiple 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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
16kHz,16bit,wav,mono channel
Recording environment
quiet indoor environment, normal environment(contains noise that does not affect recognition)
Recording content
Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money.
Country
Spain(ESP)
Language(Region) Code
es-ES
Language
Spanish
Accuracy
WAR(Word Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)
Device
Android phone, iPhone
Sample Sample
  • Audio

    Oye, ¿sería posible que me llegara el paquete a [LOC/]Calle de Atocha, ciento noventa, Granada[/LOC] esta tarde, porque tengo un problema con la entrega? \nOye, ¿sería posible que me llegara el paquete a [LOC/]Calle de Atocha, 190, Granada[/LOC] esta tarde, porque tengo un problema con la entrega?

  • Audio

    Anoche pagué [MONEY/]siete con treinta y cuatro euros[/MONEY] por mi comida, pero todavía no llega y me preocupa. ¿Pueden ayudarme? \nAnoche pagué [MONEY/]7,34 euros[/MONEY] por mi comida, pero todavía no llega y me preocupa. ¿Pueden ayudarme?

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

516ba90f-d878-48e5-a9bb-c2cffb49d2a7

8c72c1b7-ab50-4223-81bb-7b123362d68d