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Update README.md

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@@ -4,7 +4,7 @@ language:
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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: typhoon-ai/typhoon-asr-realtime
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  tags:
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  - automatic-speech-recognition
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  - speech
@@ -18,15 +18,12 @@ tags:
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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/typhoon-ai/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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- 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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@@ -72,7 +69,7 @@ streaming decoder — see the repo's `docs/SHALLOW_FUSION.md`.
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  Released under **CC-BY-4.0**, following the base-model chain:
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- - fine-tuned + converted from **[typhoon-ai/typhoon-asr-realtime](https://huggingface.co/typhoon-ai/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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  - 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
22
  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
24
  (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