British English Speech Recognition Dataset

Dataset with 30K Illustrations in 20 Artistic Styles is a high-quality professional illustrations dataset containing 30,000 images across 20 diverse artistic styles, including 3D, Cartoon, Caricature, Graffiti, and more. The annotated images dataset includes metadata on style, color, keywords, and plot, providing rich training data for image classification, style transfer, and creative machine learning applications.

Sound Effects Dataset contains 500,000 professionally recorded and curated sound effect audio files, designed for a wide range of creative, research, and machine learning applications. This high-quality audio dataset includes real-world and synthetic audio events, rich metadata, and stereo recordings, enabling audio classification, speech recognition, and scene analysis across diverse acoustic environments.

This music genres dataset contains 500,000 studio-grade music tracks in lossless FLAC format, designed for music genre classification and detection tasks. It provides rich music metadata, including detailed genre labels, instruments, and artist information, making it ideal training data for machine learning and deep learning models in audio analysis.

The dataset contains 406 hours of annotated telephone dialogues from 590 native Portuguese speakers, offering detailed audio recordings, transcriptions, and speaker metadata to train speech recognition systems, NLP models, and machine learning applications with diverse Portuguese speech datasets

Japanese Speech Recognition Dataset contains audio recordings of real-world Japanese telephone dialogues between native speakers, providing speech data with detailed annotations for speech recognition, language models, and conversational AI, making it ideal training data for recognition systems, speech synthesis, and machine learning applications

The dataset includes 1,136 hours of annotated telephone dialogues from 1,416 native speakers across the United States, providing high-quality audio recordings, transcriptions, and speaker metadata to support speech recognition systems, NLP tasks, and machine learning models requiring diverse American speech datasets

The dataset provides 499 hours of annotated telephone dialogues from 676 native speakers in Italy, delivering high-quality audio recordings, transcriptions, and speaker metadata to support speech recognition systems, NLP training, and machine learning models with diverse Italian speech datasets

The Russian speech dataset includes 338 hours of telephone dialogues in Russian from 460 native speakers, offering high-quality audio recordings with detailed annotations (text, speaker ID, gender, age) to support speech recognition systems, natural language processing, and deep learning models for building accurate Russian dialogue and audio datasets

The hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech recognition, recognition systems, and NLP applications, making it an essential dataset for developing speech technology in Indian languages

The German speech dataset contains high-quality audio recordings of real-world telephone dialogues between native German speakers, offering speech data with precise annotations for speech recognition, recognition models, and automatic speech technology, providing essential training data for recognition systems, machine learning, and accurate transcriptions in German-language applications