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

797 Hours - Hindi(India) Spontaneous Dialogue Smartphone speech dataset

hindi
Conversational Speech
Hindi discuss data
Hindi discuss dataset
Hindi discuss collection
Hindi small talk data
Hindi small talk dataset
Hindi conversational collection
Hindi chat data
Hindi chat dataset
Hindi chat collection
Hindi communication dataset
Hindi communication collection
Hindi speech data
Hindi speech dataset
Hindi speech collection
Hindi talk data
Hindi talk dataset
Hindi talk collection
Hindi conversation data
Hindi conversation dataset
India discuss data
India discuss dataset
India small talk data
India small talk dataset
India small talk collection

Hindi(India) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics, covering 20+ domains. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(1,002 native speakers), 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
Dialogue based on given topics;
Recording condition
Low background noise (indoor);
Recording device
Android smartphone, iPhone;
Speaker
1,022 native speakers in total, 49% male and 51% female;
Country
India(IND);
Language(Region) Code
hi-IN;
Language
Hindi;
Features of annotation
Transcription text, timestamp, speaker ID, gender, PII redacted.
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    अ इन लोग के वीडिओज़ से काफी फायदा भी मिलता हैं और नई नई चीजे सीखने को मिलती है तो, उन लोगों को फॉलो करने से कोई मतलब नहीं है।

  • Audio

    नहीं पर कभी-कभार ऐसा होता है ना की यार आज मूड हो गया आज उस सेलिब्रिटी की मूवी लगी है अपन थिएटर में चलकर देखते है अपनी फॅमिली को ले जाते है।

  • Audio

    तो मेरा तो ऐसा मानना है की ये ज़्यादा बेनिफिशियल है की आप, इस टाइप की सेलेब्रिटीज़ को

  • Audio

    मैं जैसे फिर मैं यूट्यूब जगत में ज्यादा जाना पसंद करता हूँ कुछ यूट्यूबर्स अच्छे है जैसे डॉक्टर विवेक बिंद्रा हो गए।

  • Audio

    बाकि आपका फिर अक्षय कुमार के आलावा कौन उससे कम इस्तर वाला सेलिब्रिटी अच्छा लगता हैं आपको?

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

By submitting, I agree to the Privacy Protection

f951a4e7-3070-4e82-9a00-1b04f81cf32e

d74d381a-03a1-4fcf-9c10-f8268136ff02