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Home > All Category Datasets > Speech Recognition Datasets > 172 Hours - American English Full-Duplex Multi-Channel Speech Dataset

172 Hours - American English Full-Duplex Multi-Channel Speech Dataset

American English speech dataset
multi-stream speech dataset
full-duplex dialogue dataset
spontaneous speech dataset
smartphone speech data
multi-channel audio dataset
speech recognition training data
dialogue AI dataset

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.

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SpecificationsSpecifications
Format
16 kHz, 16 bit, uncompressed wav, mono channel，speaker channel separation;
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Android smartphone, iPhone
Country
the United States(USA);
Language(Region) Code
en-US
Language
English
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 98%
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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