Managing the HCLG Graph: Optimizing WFSTs in Kaldi
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.
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kaldiBalancing Latency and Flexibility: Static vs. Dynamic Decoding in Kaldi
Explore the trade‑offs between Static and Dynamic decoding in Kaldi. Learn how HCLG graphs impact ASR latency, memory usage, and grammar flexibility.
Taming the HCLG Graph: Balancing Grammar Size and Decoding Speed in Kaldi
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.