Empirical study finds diminishing accuracy returns against steep energy growth for deeper and wider ResNet speaker verification models on VoxCeleb2.
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems,
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Assessing the Energy and Carbon Emissions of Neural Speaker Verification Model in Training and Inference
Empirical study finds diminishing accuracy returns against steep energy growth for deeper and wider ResNet speaker verification models on VoxCeleb2.