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Learn how Kaldi uses WFST composition to build HCLG graphs, the role of determinization and minimization, and how to manage the memory trade-offs of large language models.
Explore the trade‑offs between Static and Dynamic decoding in Kaldi. Learn how HCLG graphs impact ASR latency, memory usage, and grammar flexibility.
Learn how to balance the G (Grammar) component of Kaldi's HCLG graph to optimize the trade‑off between Word Error Rate (WER) and memory consumption during decoding.
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