Speech Recognition Datasets

600 Hours - American English Full-Duplex Multi-Channel Speech Dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify 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 200 Hours Korean Full-Duplex Multi-Channel Speech Dataset features multi-stream audio recorded via smartphones, simulating natural conversations across a range of everyday topics. Each dialogue is annotated with transcripts, speaker ID, gender, and age. Collected from diverse speakers across various regions in Korea, the dataset enhances AI model robustness in real-world applications. Ideal for training automatic speech recognition (ASR), conversational AI, multilingual dialogue systems, and natural speech processing models. All data complies with GDPR, CCPA, and PIPL privacy standards, ensuring safe and ethical AI training.

351 People - German Scripted Monologue Speech Dataset collected from monologue based on given prompts, covering smart car, smart home, voice assistant domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(351 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.

268 Hours - Arabic(Saudi) Full-Duplex Multi-Channel Customer Service Speech Dataset. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(268 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.

1100 Hours - Tagalog Full-Duplex Multi-Channel Speech Dataset, collected from dialogues based on given topics. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify 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.

The 600 Hours Greek Real-World Speech Dataset includes both casual conversations and monologues, covers self-media, conversation, live, variety show and other generic domains, mirroring real-world interactions. Transcribed with text content, speaker's ID, and other attributes. Our dataset was collected from extensive and diversify 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 consists of 200 hours of multi-stream Japanese spontaneous dialogue recorded via smartphones, featuring natural conversations based on prompted topics. It includes transcriptions with speaker ID, gender, age, and other metadata. Recorded by over 500 native Japanese speakers across diverse regions, this dataset supports advanced speech recognition, speaker diarization, and natural language understanding tasks. It has been validated by major AI companies and fully complies with global privacy regulations including GDPR, CCPA, and PIPL.

The 600 Hours Norwegian Real-World Speech Dataset includes both casual conversations and monologues, covering domains such as self-media, live shows, and other generic domains, mirroring real-world interactions. Transcribed with text content, speaker's ID, and other attributes. Our dataset was collected from extensive and diversify 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 mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify 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.