Instructions to use typhoon-ai/typhoon-asr-streaming-115m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use typhoon-ai/typhoon-asr-streaming-115m with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("typhoon-ai/typhoon-asr-streaming-115m") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- th
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library_name: nemo
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pipeline_tag: automatic-speech-recognition
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base_model:
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tags:
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- automatic-speech-recognition
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- speech
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# Typhoon ASR Streaming 115M
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Cache-aware **streaming** Thai ASR (FastConformer-Transducer, 115M params). Converted from
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[Typhoon ASR Real-time](https://huggingface.co/
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convolutions + chunked limited-context attention swapped in, every weight copied as a warm
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start, then briefly fine-tuned on the ~11k-hour Thai corpus. Unlike the full-context base
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(which collapses to 62.8% CER when forced to stream at 1040 ms), this model decodes live,
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chunk by chunk, with the encoder cache carried across chunks.
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Companion model to the paper *Typhoon ASR Streaming: Steerable Low-Latency Thai Speech
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Recognition with Real-Time Shallow Fusion* (SCB DataX). Code, demo, and evaluation suite:
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[github.com/warit-s/typhoon-asr-streaming](https://github.com/warit-s/typhoon-asr-streaming).
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## At a glance
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Released under **CC-BY-4.0**, following the base-model chain:
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- fine-tuned + converted from **[
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- itself fine-tuned from **[nvidia/stt_en_fastconformer_transducer_large](https://huggingface.co/nvidia/stt_en_fastconformer_transducer_large)** (CC-BY-4.0, NVIDIA).
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Modifications in this release: full-context → cache-aware streaming conversion (causal
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- th
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library_name: nemo
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pipeline_tag: automatic-speech-recognition
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base_model: scb10x/typhoon-asr-realtime
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tags:
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- automatic-speech-recognition
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- speech
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# Typhoon ASR Streaming 115M
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Cache-aware **streaming** Thai ASR (FastConformer-Transducer, 115M params). Converted from
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+
[Typhoon ASR Real-time](https://huggingface.co/scb10x/typhoon-asr-realtime) — causal
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convolutions + chunked limited-context attention swapped in, every weight copied as a warm
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start, then briefly fine-tuned on the ~11k-hour Thai corpus. Unlike the full-context base
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(which collapses to 62.8% CER when forced to stream at 1040 ms), this model decodes live,
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chunk by chunk, with the encoder cache carried across chunks.
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## At a glance
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Released under **CC-BY-4.0**, following the base-model chain:
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- fine-tuned + converted from **[scb10x/typhoon-asr-realtime](https://huggingface.co/scb10x/typhoon-asr-realtime)** (CC-BY-4.0, SCB DataX),
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- itself fine-tuned from **[nvidia/stt_en_fastconformer_transducer_large](https://huggingface.co/nvidia/stt_en_fastconformer_transducer_large)** (CC-BY-4.0, NVIDIA).
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Modifications in this release: full-context → cache-aware streaming conversion (causal
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