Dataset for classifying audio background sounds in living room TV content.

The key information extraction dataset for doctor-patient conversations is used to enhance the information extraction capability of medical dialogue systems.

This dataset focuses on speech recognition tasks for academic lecture scenarios.

This dataset improves noise management precision by identifying and classifying open-office noise.

The Construction Machinery Noise Pollution Audio Dataset aims to support environmental noise monitoring and control.

The audio emotion analysis dataset for customer communication in insurance negotiation rooms focuses on analyzing emotional changes during customer communication.

The group communication voice dialogue dataset is dedicated to enhancing speech recognition capabilities in low-resource languages.

The classroom explanation voice content classification dataset is used to improve the classification and analysis capabilities of audio content in the education and training field.

A high-quality voice dataset focused on children's bedtime stories.

The smart doorbell voice interaction audio dialogue dataset is a high-quality audio dataset designed to enhance the interaction capabilities of smart doorbell devices.

This dataset is designed specifically for voice command recognition of home appliances to enhance the user experience of smart devices.

The Restaurant Onsite Call and Reminder Chinese Speech Recognition Audio Dataset focuses on enhancing the intelligent interactive experience in the retail e-commerce industry.

This dataset focuses on audio data for detecting dangerous driving behaviors in driver training.

The Home Office Remote Meeting Voice Transcription Dataset provides high-quality audio resources to improve speech recognition accuracy.

This dataset provides audio data of abnormal sounds in open office environments, suitable for automatic sound extraction and anomaly detection.

The cabin voice assistant control command dataset is designed specifically for optimizing voice recognition and control in vehicular driving.

The Device Operation Abnormal Alarm Audio Detection Dataset focuses on the field of safety protection audio, enhancing the precision and responsiveness of alarm systems.

A dataset for voice semantic segmentation in noisy ER environments, assisting intelligent medical systems in improving speech recognition performance.

The School Area Noise Pollution Assessment Dataset focuses on analyzing and evaluating campus noise levels.

The Accompanied Communication Voice Dialogue Dataset is specifically designed for TTS training to enhance the model's ability to generate speech for everyday communication.