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AI Models 535

  • whisper-large-v3-turbo-FP8-dynamic↗

    RedHatAI

  • jonawhisper-gec-t5-small-onnx↗

    JonaWhisper

  • typhoon-whisper-turbo↗

    typhoon-ai

    **Typhoon Whisper Turbo** is a state-of-the-art Thai Automatic Speech Recognition (ASR) model fine-tuned on the OpenAI Whisper Large v3 Turbo architecture. It is engineered to deliver a balance of high accuracy and low latency for offline transcription, significantly outperforming standard Whisper models in throughput while maintaining robust performance on Thai speech. The model was presented in the paper Typhoon ASR Real-time: FastConformer-Transducer for Thai Automatic Speech Recognition. By using this model, you agree to the OpenTyphoon Terms and Conditions and acknowledge the Privacy Notice: https://opentyphoon.ai/tac · https://opentyphoon.ai/privacy

  • distill-whisper-th-large-v3↗

    biodatlab

  • whisper-tiny-int8-xnnpack-executorch↗

    Arm

  • whisper-medium-komixv2↗

    seastar105

  • silero-vad-v6.2-gguf↗

    handy-computer

    Ported from upstream commit 5cd7945, pinned 2026-10-09. Validated against the silero-vad 6.2.3 (TorchScript, CPU, F32) reference at transcribe.cpp commit 2674b95d on 2026-10-10. Voice activity detection by the Silero Team. Not a transcription model: the VAD role produces per-frame speech probabilities (offline or streaming) and offline speech segments. CPU is the default backend for reference fidelity. transcribe.cpp also loads whisper.cpp's `ggml-silero-v5.1.2.bin` / `v6.2.0.bin`. From the C API, use the VAD role (`include/transcribe/vad.h`): offline segments with `transcribe_vad_run`, live per-frame probabilities with `transcribe_vad_stream_feed`.

  • typhoon-whisper-medium↗

    typhoon-ai

    Thai Whisper-medium with contextual biasing support via a decoder LoRA. Merged base weights + adapter in one repo. Full fine-tune of `openai/whisper-medium` on ~10,846 hours of Thai speech (see the Typhoon ASR Real-time technical report). `bias@0` = gold entities only (an oracle upper bound). `bias@10` = gold plus 10 distractors, the realistic condition. `dis@10` = distractors only, measuring over-biasing.

  • whisper-large-v3-turbo-sk↗

    kinit

  • whisper-tiny↗

    litert-community