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Home > All Category Datasets > Speech Recognition Datasets > 411 Hours English Medical Speech Dataset – Scripted Dialogues for Clinical AI

411 Hours English Medical Speech Dataset – Scripted Dialogues for Clinical AI

medical speech dataset
english medical speech dataset
medical dialogue dataset
clinical speech dataset
healthcare speech dataset
medical ASR dataset
medical audio dataset

This dataset contains 411 hours of English medical speech, covers medical domain, scripted dialogues in medical scene, including clinical manifestations, or diagnosis, or treatment and more, 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.

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SpecificationsSpecifications
Format
16kHz, 16 bit, wav, mono channel
Content category
Scripted dialogues in medical scene, covering clinical manifestations, or diagnosis, or treatment, etc.;
Recording condition
Low background noise
Country
the United States(USA),Philippine(PHI),India(IND)
Language
English
Features of annotation
transcription text, timestamp, speaker ID, gender, noise
Recording device
Android smartphone, iPhone
Accuracy
Sentence Accuracy Rate (SAR) 95%
Speaker
396 speakers in total, 135 male and 261 female
Sample Sample
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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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