1,044 Hours Brazilian Portuguese Speech Dataset

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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

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%

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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

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