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m.nexdata.datatang.com

1,136 Hours American English Speech Dataset for ASR and Voice AI Training

american english speech dataset
us english speech dataset
english ASR dataset
conversational speech dataset
voice assistant training data
voice agent training data

This dataset contains 1,136 hours of US English spontaneous dialogue speech collected from native American speakers. The recordings were gathered through natural conversations based on predefined topics, covering a wide range of general conversational scenarios. Each audio is transcribed with corresponding text content and speaker's metadata, including speaker ID, gender, and other attributes. Our dataset was collected from 1,416 American English speakers, 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
SpecificationsSpecifications
Format
16kHz, 16 bit, uncompressed wav, mono channel;
Content category
generic domain;
Recording condition
Low background noise;
Recording device
Android Smartphone, iPhone;
Speaker
1,416 Americans, with 45% male and 55% female;
Country
the United States(USA);
Language(Region) Code
en-US;
Language
English;
Features of annotation
Transcription text, speaker ID, gender;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    So what do you consider as an art?

  • Audio

    Or with the purpose of relating something to the one looking at it.

  • Audio

    Like you know, paintings, crafts, cultures a lot of things what about you?

  • Audio

    as a photographer and musician, I, consider this as a form of art.

  • Audio

    But I also um, appreciates appreciate still arts

Recommended DatasetsRecommended Dataset
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Dataset FAQs

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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