Speech Recognition Datasets

172 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.

205 Hours Japanese Full-Duplex Multi-Channel Speech Dataset is 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.

This dataset contains 211 hours of Thai full-duplex spontaneous dialogue speech collected from natural conversations based on predefined topics. The dataset includes transcription text, speaker IDs, gender, age information, and other metadata. It was collected from 654 native Thai speakers, 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 scripted German speech recordings collected from 351 native German speakers based on predefined voice prompts. The recordings cover smart car voice commands, smart home interactions, voice assistant scenarios, and other human-machine interaction applications. Each audio sample is transcribed with corresponding text content and additional metadata attributes. 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 features full-duplex, multi-channel conversations recorded from 268 native Saudi Arabic speakers in authentic customer service scenarios. The dataset includes high-quality audio with verbatim transcriptions and comprehensive metadata, such as speaker ID, gender, age, and other demographic 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.

This dataset contains 122 hours of high-quality Japanese scripted monologue speech collected from diverse speakers across multiple geographic regions.The dataset includes rich structured entity coverage such as person names, phone numbers, addresses, alphanumeric sequences, Emails, product Models, product serial numbers, and money entities, mirrors real-world interactions. The speech transcriptions include text content and other attributes. 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.

950 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.

This dataset contains approximately 262 hours of Japanese children's speech data collected from 411 speakers aged 6 to 13, including 147,668 scripted utterances with transcriptions. The speakers are categorized into lower-grade (ages 6–9, 179 speakers) and upper-grade (ages 10–13, 232 speakers) groups, with balanced gender distribution. Recordings were collected using smartphones in 16kHz/16bit mono WAV format and include both utterance transcriptions and read-aloud scripts. The dataset is applicable to tasks such as Japanese children's ASR, TTS, speaker recognition, and pronunciation assessment.