AIBullisharXiv – CS AI · Mar 37/107
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Whisper-MLA: Reducing GPU Memory Consumption of ASR Models based on MHA2MLA Conversion
Researchers introduce Whisper-MLA, a modified version of OpenAI's Whisper speech recognition model that uses Multi-Head Latent Attention to reduce GPU memory consumption by up to 87.5% while maintaining accuracy. The innovation addresses a key scalability issue with transformer-based ASR models when processing long-form audio.