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Home > All Category Datasets > Speech Recognition Datasets > 201 Hours North American English Speech Dataset for Voice AI and ASR Models

201 Hours North American English Speech Dataset for Voice AI and ASR Models

north american english speech dataset
american english speech dataset
scripted speech dataset
native english speech dataset
english ASR dataset
english ASR dataset

This dataset contains 201 hours of North American English scripted monologue speech collected from native speakers using smartphones and PCs. The recordings are based on predefined scripts covering common daily expressions and spoken language patterns. Each audio sample is transcribed with corresponding text content and additional metadata. Collected from 302 North American speakers, the dataset provides diverse pronunciation patterns and natural language variations, 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/44.1kHz, 16bit, uncompressed wav, mono channel;
Recording condition
Low background noise (indoor), without echo;
Content category
words, common expressions;
Recording device
Android smartphone, iPhone, PC;
Speaker
302 people from North America, 59% male and 41% female;
Country
the United States(USA), Canada(CAN);
Language(Region) Code
en-US, en-CA;
Language
English;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95% (noise symbols are excluded)
Sample Sample
  • Audio

    Dow Jones is expected to announce prices for DowVision later this month .

  • Audio

    Anglers have many reasons to fish.

  • Audio

    New York. And he's not allowed to talk to them.

  • Audio

    production

  • Audio

    That conclusion is equally applicable to these proposed amendments , since the amendments slightly reduce the regulatory requirements .

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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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