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June 13, 20240 citationsOpen Access

Optimizing Byte-level Representation for End-to-end ASR

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Authors

RHRoger HsiaoLDLiuhui DengEMErik McDermott

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Cite This Study

Hsiao et al. (2024) studied this question.

synapsesocial.com/papers/68e64f88b6db6435875e02dehttps://doi.org/10.48550/arxiv.2406.09676
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models2024 · 5 citations
  2. 2Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models2024
  3. 3Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations2024 · 7 citations
  4. 4USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models2024 · 3 citations
  5. 5Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations2024