Speech Recognition Datasets

This dataset contains 200 hours of spontaneous UK English dialogue recorded using smartphones. Collected from approximately 500 native British English speakers across various regions, the dataset reflects real-world acoustic diversity. Each audio segment is accompanied by detailed annotations, including transcription, timestamp, speaker ID, gender, and more. Ideal for applications in automatic speech recognition (ASR), speech synthesis (TTS), speaker diarization, and natural language understanding (NLU), the dataset has been validated by leading AI companies. All data complies with global privacy regulations such as GDPR, CCPA, and PIPL.

English(Canada) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and control, in-car command and control, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(466 people 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.

English(Korea) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and control, in-car command and control, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(505 people 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.

English(Japan) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and control, in-car command and control, numbers and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(464 people 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.

English(India) Spontaneous Dialogue Smartphone speech dataset, collected from dialogues based on given topics. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Our dataset was collected from extensive and diversify speakers(390 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.

Malay(Malaysia) Scripted Monologue Smartphone speech dataset, collected from monologue based on given scripts, covering generic domain, human-machine interaction, smart home command and in-car command, news and other domains. Transcribed with text content and other attributes. Our dataset was collected from extensive and diversify speakers(675 people 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.

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.

This dataset features 202 participants recorded in 13 distinct angles under both natural indoor lighting and fluorescent settings, using smartphones. It includes high-resolution multimodal video of Mandarin Chinese speech with diverse speaker demographics and natural lip movements. The dataset captures general content in an unconstrained format and is suitable for tasks such as lip reading, audio-visual speech recognition (AVSR), visual speech synthesis, lip-sync modeling, and other multimodal machine learning applications. It complies with GDPR, CCPA, and PIPL privacy regulations and has been validated by leading AI enterprises.

This dataset contains 1,297 hours of environmental noise recordings collected using voice recorders across diverse real-world scenarios, including subways, supermarkets, restaurants, roads, and more. All recordings are annotated with timestamps and relevant metadata, making the data ideal for training AI models in noise reduction, environmental sound classification, audio preprocessing, and speech enhancement tasks. The dataset has been validated by leading AI companies and complies with global data protection regulations including GDPR, CCPA, and PIPL.