A co-training and stochastic-precision method achieves 1-bit and 2-bit weight quantization of Conformer ASR with no statistically significant WER increase on several test sets, yielding up to 16.6x compression.
Conformer) is a popular E2E ASR architecture that achieves state-of-the-art performance on many speech recognition tasks [1]
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Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision
A co-training and stochastic-precision method achieves 1-bit and 2-bit weight quantization of Conformer ASR with no statistically significant WER increase on several test sets, yielding up to 16.6x compression.