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

300 People - Mandarin Chinese and English Bilingual Spotaneous Monologue Smartphone speech dataset

Unscripted monologue
Natural Speech
Mandarin
English
Bilingual

Mandarin Chinese and English Bilingual Spotaneous Monologue Smartphone speech dataset, collected from dialogues based on given topics, covering generic domain. Our dataset was collected from extensive and diversify speakers(300 people in total, ages 18 to 65), 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, 16 bit, wav, mono channel
Content category
Individuals naturally speaking, with no specific content limitations. Each speaker records 20 audios in each language (40 recordings per person), each recording lasting about 10-20 seconds
Recording condition
Quiet indoor environment, without echoes, background voices, obvious noises
Recording device
Android phone
Speaker
Total 300 contributors,40% males and 60% females. 83%contributors aged 18-37, 15% contributors aged 38-45, and 2% contributors aged 46-65
Country
China(CHN);
Language
Mandarin Chinese, English;
Sample Sample
  • Waiting For Data
Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

42ea77b3-78eb-4cfe-b317-fe619e59bd73

2a9880ec-b52d-4a7c-b2c0-07e8538cba1b