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302 Person - Hindi and English Bilingual Spontaneous Monologue smartphone speech dataset

Spontaneous monologue
Natural Speech
Hindi
English
Bilingual

Hindi and English Bilingual Spontaneous Monologue smartphone speech dataset, collected from dialogues based on given topics, covering generic domain. Our dataset was collected from extensive and diversify speakers(302 people in total, ages 18 to 46), 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
16k Hz, 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, iPhone
Speaker
Total 302 contributors,45% male and 55% female. 291contributors aged 18-37, 10 contributors aged 38-45, and 1 contributor aged 46-65
Country
India(IND)
Language
Hindi,English
Sample Sample
  • Waiting For Data
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Mandarin Chinese(China) Spontaneous Monologue Smartphone speech dataset, collected from dialogues without given topics, close to casual conversation, covering generic domain. Transcribed with text content, noise and other attributes. Our dataset was collected from extensive and diversify speakers(700 Chinese 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.

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