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104 Hours Brazilian Portuguese Telephone Speech Dataset for ASR

portuguese speech dataset
brazilian portuguese speech dataset
telephone speech dataset
telephony speech dataset
telephone asr dataset

This dataset contains 104 hours of Brazilian Portuguese telephone conversations collected through topic-guided dialogues spanning more than 20 domains. Each recording includes an accurate transcript, speaker ID, gender, age, and additional metadata. The dataset was collected from 118 native Brazilian Portuguese speakers across diverse regions, 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
8kHz 8bit, a-law/u-law pcm, mono channel
Content category
Dialogue based on given topics
Recording condition
Low background noise (indoor)
Recording device
Telephony
Country
Brazil(BRA)
Language(Region) Code
pt-BR
Language
Portuguese
Speaker
118 people in total, 54% male and 46% female
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy rate
Word accuracy rate(WAR) 98%
Sample Sample
  • Audio

    Eu lembro que tinha algumas pessoas, e também lembro que eu estava montado numa tartaruga gigante.

  • Audio

    E as carteiras eram ilhas, eu não lembro quem estava lá.

  • Audio

    eu lembro de ter sonhado, que eu estava na minha, é, no meu ensino fundamental, na sala do meu ensino fundamental.

  • Audio

    eu acabo misturando muita fantasia, muitas loucuras. Então um exemplo é, quando eu era jovem,

  • Audio

    e eu lembro que esta sala de aula virou um, um mar, tipo um oceano, na verdade.

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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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