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215 Hours American English Speech Dataset with Reading-style Speech

us english speech dataset
english ASR dataset
american english speech dataset
speech AI dataset
multilingual speech dataset

This dataset contains 215 hours of American English scripted read speech collected from 349 native speakers using mobile devices. The recordings are based on predefined scripts covering various content categories, including economy, entertainment, news, informal speech, numbers, and alphabet reading. Each audio sample is transcribed with corresponding text content and additional metadata. 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, 16bit, uncompressed wav, mono channel;
Content category
Economy, entertainment, news, informal language, numbers, alphabet;
Recording condition
Low background noise(indoor), without echo;
Recording device
Android smartphone; iPhone;
Speaker
349 Americans, 54% male and 46% female;
Country
the United States(USA);
Language(Region) Code
en-US;
Language
English;
Features of annotation
Transcription text, timestamp, 5 noise symbols, 5 special identifiers;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%(noise symbols and other identifiers are excluded)
Sample Sample
  • Audio

    establishment[[lipsmack]],is recalling approximately two hundred and twenty six thousand seven hundred and ten pounds of processed egg products that may be contaminated with Salmonella,in the U

  • Audio

    Federal Reserve's John Williams says monetary policy rules in real world

  • Audio

    Blount said drivers suffer from maladies like high blood pressure,diabetes,and heart and stomach issues

  • Audio

    has now claimed second spot in the U

  • Audio

    Even if online brokers can offer an easier and quicker[[lipsmack]] shopping experience,it may be too late

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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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