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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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