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Human-Robot Dataset
The dataset comprises 660+ hours of Russian speech across 20,000+ audio files featuring human-robot interactions between AI and humans. It is designed for research in conversational agents, focusing on various speech recognition methods, primarily aimed at advancing language models and machine learning applications.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in speech recognition, natural language processing, and conversational agents technologies. - Get the data
Each recording features natural conversations between humans and robots, simulating potential real-world human-robot interaction scenarios in robotic systems.
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Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to improve conversational agents and enhance human-robot collaboration in real-world applications.
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