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199 Hours Australian English Speech Dataset for Accent-Aware ASR Training

australian english speech dataset
australian english speech corpus
australian accent dataset
english accent dataset
voice assistant training data
speech recognition training data

This dataset contains 199 hours of scripted Australian English speech recordings collected from 402 speakers using smartphone devices. The recordings are based on predefined scripts covering general topics, human-machine interaction, smart home voice commands, automotive voice interaction scenarios, numbers, and other speech applications. Each audio sample is transcribed with corresponding text content and additional metadata attributes. 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, 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
402 speakers in total, with 54% females(217 speakers) and 46% males(185 speakers)
Country
Australia(AUS)
Language
English
Accuracy Rate
Sentence Accuracy Rate(SAR) 95%
Sample Sample
  • Audio

    Where does at times come from?

  • Audio

    It was not easy to stay awake after a day's hard work.

  • Audio

    Shut down AC

  • Audio

    Pop up blood pressure whenever checked

  • Audio

    June eleventh, nineteen seventy-three

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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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