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LiteASR: Efficient Automatic Speech Recognition with Low-Rank ApproximationAutomatic Speech Recognition model은 encoder-decoder architecture로 인해 computationally-intense 함LiteASREncoder에 Low-Rank Compression을 적용하여 transcription accuracy를 maintain 하면서 inference cost를 절감Small calibration dataset을 활용하여 Principal Component Analysis를 적용하여 Linear transformation을 Low-Rank Matrix Multiplication chain으로 ap..