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

176 Hours - Suzhou Dialect(China) Scripted Monologue Smartphone speech dataset

Suzhou dialect voice
dialect voice and mobile phone voice collected data

Suzhou Dialect(China) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering common expressions. Transcribed with text content, noise and other attributes. Our dataset was collected from extensive and diversify speakers(250 people in total), geographicly speaking, enhancing model performance in real and complex tasks.nQuality 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
Informal expressions;
Recording device
Android Smartphone, iPhone;
Speaker
250 people from Suzhou, 48% male and 52% female;
Country
China(CHN);
Language
Suzhou dialect;
Features of annotation
Transcription text, noise symbols;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95% (noise symbols are excluded)
Sample Sample
  • Audio

    哀歇温度是究乎度

  • Audio

    [s]欧哀歇勒浪做啥

  • Audio

    [s]是八点廿分不是八点两分

  • Audio

    [t]有究乎个本事拨倷晓得

  • Audio

    刘德华个经典歌曲

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

121d929f-a239-4027-b1d3-81f6c0cbcecd

73119653-e9a8-4da4-a794-5f72119e5342