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Paraformer-zh-streaming

Streaming speech recognition — real-time transcription with low latency for Chinese.

Streaming variant of Paraformer that processes audio in chunks, delivering results in real-time as audio arrives.

Quick Start

from funasr import AutoModel

model = AutoModel(
    model="funasr/paraformer-zh-streaming",
    hub="hf",
    device="cuda",
)

# Streaming inference with chunk processing
import sounddevice as sd
import numpy as np

chunk_size = [0, 10, 5]  # [lookback, chunk, lookahead] in 60ms frames
result = model.generate(
    input="audio.wav",
    chunk_size=chunk_size,
    encoder_chunk_look_back=4,
    decoder_chunk_look_back=1,
)
print(result[0]["text"])

Features

Real-time streaming recognition
Low latency chunk-by-chunk processing
Chinese + English support
Compatible with WebSocket deployment

Model Details

Property	Value
Architecture	Paraformer-Streaming
Parameters	220M
Languages	Chinese, English
Mode	Streaming (online)
Sample Rate	16kHz

License and immutable revision

This repository publishes the model weights and accompanying files under the Apache License 2.0, unless an individual file carries a different notice. At the immutable apache-2.0-20260804 tag, this statement covers model.pt, config.yaml, configuration.json, am.mvn, seg_dict, tokens.json, the example audio, the architecture figure, and this model card.

For an auditable deployment, pin both the repository and revision:

model = AutoModel(
    model="funasr/paraformer-zh-streaming",
    model_revision="apache-2.0-20260804",
    hub="hf",
    device="cuda",
)

Record the resolved commit SHA and artifact checksums in deployment metadata. The historical revision 45df2405b92dfeb21e01ea4465954677005ae370 did not contain the license file referenced by its model card and remains unchanged; new integrations should use the immutable tag above. This clarification applies to the tagged snapshot and does not rewrite an older revision retroactively.

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