Dimensions overall score 7.0

• HEAR achieves an accuracy of 95.1% on the GSCv2 benchmark.result 100%
• HEAR achieves an accuracy of 87.9% on the VoxCeleb benchmark.result 100%
• HEAR achieves a Real-Time Factor (RTF) of 0.095 for a 10-second audio input.technical 100%
• HEAR achieves 94.3% accuracy on the GSCv1 benchmark.result 100%
• HEAR achieves 95.1% accuracy on the GSCv2 benchmark.result 100%
• HEAR achieves 87.9% accuracy on the VoxCeleb benchmark.result 100%
• HEAR requires only 15M parameters for inference.technical 100%
• HEAR requires 9.47 GFLOPs for inference for a 10-second audio input.technical 100%
• HEAR's architecture is decoupled into an Acoustic Model for local feature extraction and a Task Model for global semantic integration.method 100%
• HEAR uses a knowledge-distilled Acoustic Tokenizer trained via knowledge distillation for Masked Audio Modeling.method 100%
• HEAR requires only 15M parameters for inference.technical 100%
• HEAR requires 9.47 GFLOPs for inference on a 10-second audio input.technical 100%

Competitive landscape

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