Speech Recognition Datasets

This dataset contains 50.5 hours of American English speech from children, collected from monologue based on given prompts, covering children’s textbooks, story books, oral language, numbers, letters. Transcribed with text content. Our dataset was collected from extensive and diversify speakers(219 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.

This dataset contains 55 hours of British English speech from children, collected from monologue based on given scripts, covering educational materials for children, story books, informal language, numbers, alphabet. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(201 British children recorded in hi-fi microphone), 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.

This dataset contains 96 hours of Japanese speech from children, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger kids), 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.

This 393-hour Korean Children Speech Dataset consists of scripted monologue recordings from young speakers, captured using smartphones. The speech content includes essays, storytelling, and numeric readings. Each audio file is transcribed and annotated with metadata such as speaker ID, gender, and age. Collected from a geographically diverse group of native Korean-speaking children, this dataset is designed to support training of automatic speech recognition (ASR), text-to-speech (TTS), pronunciation evaluation systems, and educational language models. The dataset has been quality-verified by multiple AI enterprises and is fully compliant with GDPR, CCPA, and PIPL privacy regulations.

This dataset contains 34 hours of Hindi children’s speech.The recordings cover self-media, conversations, live talk, lectures, variety show and other generic domains, mirrors real-world interactions. Each utterance is transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), 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.

This dataset includes 299 hours of US English children’s speech, recorded as scripted monologues, collected from monologue based on given scripts, covering essay stories. The data covers a variety of categories, including children's books and textbooks, and is rich in content that aligns with children's language habits.Transcribed with text content and other attributes. Our dataset is collected from a wide and diverse range of speakers geographically, which supports tasks like speech recognition, TTS, and child voice modeling. 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.

The 97-hour German Children Speech Dataset covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), 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.

Spanish(Latin America) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), 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.

Spanish(spain) Children Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, live, lecture, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, age, accent and other attributes. Our dataset was collected from extensive and diversify speakers(12 years old and younger children), 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.