9 citations · 27 across the 9 of their papers we have counts for
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cs.CL2023★ 7 cited
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Zi Yang, Samridhi Choudhary, Siegfried Kunzmann +1
Fine-tuned transformer models have shown superior performances in many natural language tasks. However, the large model size prohibits deploying high-performance transformer models…
cs.SD2023
Dual-Attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition
Saumya Y. Sahai, Jing Liu, Thejaswi Muniyappa +8
We present dual-attention neural biasing, an architecture designed to boost Wake Words (WW) recognition and improve inference time latency on speech recognition tasks. This archite…