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

222 Hours - English(Korea) Scripted Monologue Smartphone speech dataset

Accent English
Korea
English

English(Korea) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and control, in-car command and control, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(505 people in total), geographicly speaking, enhancing model performance in real and complex tasks.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.

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, uncompressed wav, mono channel;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; human-machine interaction; smart home command and in-car command; numbers;
Recording device
Android Smartphone, iPhone
Speaker
505 speakers in total, with 60% females(303 speakers) and 40% males(202 speakers)
Country
Korea(KOR)
Language
English
Accuracy Rate
Sentence Accuracy Rate(SAR) 95%
Sample Sample
  • Audio

  • Audio

  • Audio

  • Audio

  • Audio

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

ee8607a3-cba6-4bad-849c-04dfa74a41f7

d635dbb9-7bd0-4edf-8cbd-223f2ab8e78c