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Home > All Category Datasets > Speech Recognition Datasets > 800 Hours American English Speech Dataset for Smart Home and Automotive AI

800 Hours American English Speech Dataset for Smart Home and Automotive AI

voice command dataset
automotive speech dataset
speech recognition training data
smart home voice dataset
english ASR dataset
american english speech dataset

This dataset contains 800 hours of American English scripted speech collected from native speakers using mobile devices. The recordings are based on predefined prompts and cover multiple application scenarios, including general topics, human-machine interaction, smart home voice commands, automotive voice commands, and numerical speech.All speech samples are transcribed with corresponding text content and additional metadata. The dataset was collected from 1,842 American English speakers, providing diverse speaker characteristics and pronunciation variations for robust speech AI model development. 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;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; human-machine interaction; smart home command and in-car command; numbers;
Recording device
Android Smartphone, iPhone;
Speaker
1,842 speakers in total, with 39% male and 61% female; and 55% speakers of all are in the age group of 16-25,41% speakers of all are in the age group of 26-45, 4% speakers of all are in the age group of 46-69;
Country
the United States(USA);
Language(Region) Code
en-US;
Language
English;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 97%
Sample Sample
  • Audio

    Play the first episode of Dread the Walking Dead

  • Audio

    You don't think I have enough to do around here?

  • Audio

    Please mute the story machine

  • Audio

    twenty-nine to one AM

  • Audio

    Make the sweeping robot off

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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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