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scb10x/whisper-medium-slscu-nectec included in the comparison is a model we fine-tuned specifically for this benchmark using existing dialect data from NECTEC and SLSCU. It serves as a representative baseline for performance based on public data, distinct from the SLSCU_korat_model (the prominent previous work for Isan dialect ASR). This helps to determine the clear gap between capabilities derived from previously available resources and the new Typhoon Isan ASR.typhoon-isan-asr-whisper model achieves a Character Error Rate (CER) of 0.0885, surpassing Gemini-2.5-pro (0.1020) by a clear margin. This result validates that a specialized, fine-tuned open model can deliver superior accuracy compared to massive, general-purpose proprietary systems for the Isan dialect.typhoon-isan-asr-realtime model is highly competitive (0.1065), the typhoon-isan-asr-whisper offers the highest possible fidelity, making it the preferred choice for offline transcription where precision is paramount.