Speech Emotion Recognition Dataset

Slovenian speech dataset contains over 10 hours of telephone-recorded dialogues from 20+ native speakers, delivered in MP3 and WAV formats with low background noise and minute-long segments. The dataset includes structured annotations (ID, language, format, duration), making it well-suited for Slovenian speech recognition, spoken language processing, and training language models built on high-quality continuous and spontaneous speech data.

Arabic speech dataset provides over 10 hours of telephone-quality dialogues recorded by 20+ native Arabic speakers from the UAE, offering clean, high-quality audio data suitable for training speech recognition systems, dialogue models, and Arabic language processing tools. The dataset contains annotated audio recordings (ID, language, format, duration) in M4A, MP3, WAV, and AAC, captured with low background noise.

Vietnamese Speech Recognition Dataset features over 10 hours of telephone-quality audio recordings from native Vietnamese speakers, providing a diverse speech corpus for recognition tasks and training data for NLP models. This Vietnamese audio dataset contains real conversational dialogues with detailed annotations, making it well-suited for machine learning, multi-dialect processing, and benchmarking speech-driven AI systems.

Korean Speech Recognition Dataset provides over 10 hours of telephone-based dialogues recorded by native Korean speakers, offering clean audio data for speech recognition, NLP training, and conversational AI. This Korean audio dataset includes annotated files, consistent recording conditions, and varied dialogue samples, making it a reliable speech corpus for model training and real-world speech detection tasks.

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 10+ hours of annotated telephone dialogues from 20+ 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

The dataset comprises 10+  hours of telephone dialogues in Japanese, collected from 20 native speakers across various topics and domains

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