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209 Hours Portuguese Accent English Speech Dataset for ASR Training

portuguese accent english speech dataset
accent speech dataset
english ASR dataset
voice assistant training data
speech recognition training data
speech command dataset

This dataset contains 209 hours of scripted English speech collected from Portuguese speakers using smartphone devices. The recordings are based on predefined scripts covering general topics, human-machine interaction scenarios, smart home voice commands, automotive voice commands, numbers, and other speech applications. Each audio sample is transcribed with corresponding text content and additional metadata. Collected from 532 Portuguese speakers, the dataset captures diverse Portuguese-accented English pronunciation patterns and speaking 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, 16 bit, uncompressed wav, mono channel;
Content category
Including generic domain; human-machine interaction; smart home command and control; in-car command and control; numbers;
Recording condition
Low background noise (indoor), without echo;
Recording device
Android Smartphone, iPhone;
Speaker
532 speakers totally, with 47% male and 53% female; and 59% speakers of all are in the age group of 18-25,39% speakers of all are in the age group of 26-45, 2% speakers of all are in the age group of 46-60;
Country
Portugal(PRT);
Language
English;
Features of annotation
Transcription text;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    Please increase the speed by two

  • Audio

    twenty-six to four PM

  • Audio

    Please stop the car recorder

  • Audio

    Play the original Let's Groove version

  • Audio

    The city was latecomer to the new economy, and it was relatively remotes.

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