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1,044 Hours Brazilian Portuguese Speech Dataset - Transcribed Audio for ASR

brazilian portuguese speech dataset
portuguese speech dataset
brazilian portuguese asr dataset
speech recognition dataset portuguese
portuguese speech corpus

This dataset contains 1,044 hours of Brazilian Portuguese scripted monologue speech recorded by 2,038 native speakers from diverse regions. The recordings are based on predefined scripts and cover general topics, human-machine interaction, smart home voice commands, in-car voice commands, numbers, news, and other application scenarios. Each recording includes a transcript, speaker ID, timestamp, and supporting metadata, 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, 16bit, uncompressed wav, mono channel;
Recording condition
Low background noise(indoor), without echo;
Content category
Generic domain; news; human-machine interaction; smart home command and control; in-car command and control; numbers
Recording device
Android Smartphone, iPhone;
Speaker
2,038 speakers totally, with 47% male and 53% female; and 47% speakers of all are in the age group of 16-25,48% speakers of all are in the age group of 26-45, 5% speakers of all are in the age group of 46-64;
Country
Brazil(BRA);
Language(Region) Code
pt-BR;
Language
Portuguese;
Features of annotation
Transcription text, speaker ID, timestamp;
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%
Sample Sample
  • Audio

    Porque Douradoquara é tão famoso para os viajantes

  • Audio

    Ao chegar sentou-se na cama abaixo de pôsteres de Dirk Nowitzki e Porzingis

  • Audio

    quatrocentos e quarenta e um mil ducentos e trinta e dois reais

  • Audio

    Na comunicação ela cita artigos das leis russas que apontam para punição quanto à humilhação ou insulto.

  • Audio

    Joy nós estamos casados há vinte anos.

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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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