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FunASR 1.3.19

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@github-actions github-actions released this 19 Jul 02:00
· 568 commits to main since this release
v1.3.19
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FunASR 1.3.19

This release ships the realtime WebSocket long-session diagnostics in the PyPI package and keeps the 1.3.18 subtitle fixes available for CLI users. It is the recommended package for anyone testing long realtime sessions, speaker-enabled streaming, or subtitle export from the funasr command.

Install or upgrade

python -m pip install -U "funasr==1.3.19"

What changed

  • Realtime WebSocket diagnostics are now packaged with the release docs. Start the server with --enable-spk --log-session-stats-interval 30 and collect the emitted Session stats: lines when debugging disconnects, RTF growth, or memory growth.
  • The long-session guide explains how to distinguish bounded session state from model inference, payload size, or container scheduling bottlenecks by watching audio buffers, locked sentence counts, speaker history chunks, speaker embeddings, and speaker centers.
  • CLI subtitle generation keeps the 1.3.18 behavior: srt and tsv output request sentence timestamps and load punctuation when needed, so subtitle files split into readable cues instead of one full-text block.
  • The release includes the latest community documentation updates so users can discover verified FunASR/SenseVoice integrations from the official docs.

Quick checks

Realtime long-session retest:

python -m pip install -U "funasr==1.3.19"
python funasr/bin/realtime_ws.py \
  --host 0.0.0.0 \
  --port 10095 \
  --enable-spk \
  --log-session-stats-interval 30

Subtitle smoke test:

funasr input.wav --output-format srt --output-dir ./subs

Helpful links

Runtime downloads

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: runtime-llamacpp-v0.1.9.

Use these assets when you want the self-contained llama-funasr-* binaries instead of the Python package. The runtime release is shared by the current Python releases; v1.3.19 itself is the PyPI package release.

Platform Asset SHA-256
Linux arm64 funasr-llamacpp-linux-arm64.tar.gz 521866e75594e56eb5023b65eb1ecf6ab7c3b5069522b71cd33aa37b8406ed4b
Linux x64 AVX2 funasr-llamacpp-linux-x64-avx2.tar.gz 51f33822a5191f7963d8ceedba2dd76fe7d810a4388b931b25b8be4f1a8e320d
Linux x64 Vulkan funasr-llamacpp-linux-x64-vulkan.tar.gz 0272856faa30b66831a55dd52c1ea0f2ea04b460251dc84b333d25080afdf6a7
Linux x64 portable funasr-llamacpp-linux-x64.tar.gz 2cd54174a3755f89c11f071dedfb935eff96007617e2e952604d90230ea9eb48
macOS arm64 funasr-llamacpp-macos-arm64.tar.gz 2d5786784ad09d8f4def1d942f678728638fe601d00acf0dad7cf094a9328363
Windows x64 AVX2 funasr-llamacpp-windows-x64-avx2.zip f2a1389658e6fb5f5f93c7bad98b5ce100eb4811e0e3c39603e39466773b1b4c
Windows x64 CUDA funasr-llamacpp-windows-x64-cuda.zip 3809fb22ec977b29d86c1ca1d132a16a90019949d7ad2a0262292a5732bf596a
Windows x64 Vulkan funasr-llamacpp-windows-x64-vulkan.zip fe2988376f911ad88d268edfa95957359015187aa6068076fd9efb2f3cd5d8ce
Windows x64 portable funasr-llamacpp-windows-x64.zip 6767af74e42c8b928742e12d5995c139636d9482ea151cdbb51f1b7573667772

Quick start: download one asset, unpack it, then run the bundled download-funasr-model.sh <sensevoice|paraformer|nano> helper and one of llama-funasr-cli, llama-funasr-sensevoice, or llama-funasr-paraformer.

For Python users, install from PyPI:

python -m pip install -U "funasr==1.3.19"
Assets 2
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