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

hindi
Conversational Speech
phone
Hindi discuss data
Hindi discuss dataset
Hindi discuss collection
Hindi small talk data
Hindi small talk dataset
Hindi small talk collection
Hindi conversational data
Hindi conversational dataset
Hindi conversational collection
Hindi chat data
Hindi chat dataset
Hindi chat collection
Hindi communication data
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
Hindi conversation collection
India discuss data
India discuss dataset
India discuss collection
India small talk data
India small talk dataset
India small talk collection
India conversational data
India conversational dataset
India conversational collection
India chat data
India chat dataset
India chat collection
India communication data
India communication dataset
India communication collection
India speech data
India speech dataset
India speech collection
India talk data
India talk dataset
India talk collection
India conversation data
India conversation dataset
India conversation collection
Indo-Aryan discuss data
Indo-Aryan discuss dataset
Indo-Aryan discuss collection
Indo-Aryan small talk data
Indo-Aryan small talk dataset
Indo-Aryan small talk collection
Indo-Aryan conversational data
Indo-Aryan conversational dataset
Indo-Aryan conversational collection
Indo-Aryan chat data
Indo-Aryan chat dataset
Indo-Aryan chat collection
Indo-Aryan communication data
Indo-Aryan communication dataset
Indo-Aryan communication collection
Indo-Aryan speech data
Indo-Aryan speech dataset
Indo-Aryan speech collection
Indo-Aryan talk data
Indo-Aryan talk dataset
Indo-Aryan talk collection
Indo-Aryan conversation data
Indo-Aryan conversation dataset
Indo-Aryan conversation 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.

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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?

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