Pixel ML builds video intelligence for Southeast Asian media. These are the speech models we run for Southeast Asian media: captions, search, clips. Open weights, open data, runs on your GPU — or on a CPU. Google's EmbeddingGemma 2 audio encoder with a CTC head, trained by Pixel ML on openly licensed Indonesian speech (YODAS, FLEURS, Common Voice). An optional n-gram language model (folder lm/, 0.27 GB) built from Indonesian Wikipedia comes with the weights. Speed (one H100 80GB, side by side with Whisper on the same GPU type and container size; seaasr v0.2.1): greedy decoding is about 18x faster than batched Whisper large-v3 and 9x faster than large-v3-turbo on a 79-minute recording…