aistream-test/python/test/funasr_samples/samples/python

Install the requirements for client

Tips: python3.7+ is required

pip3 install websockets

API-reference

python funasr_wss_client.py \
--host [ip_address] \
--port [port id] \
--chunk_size ["5,10,5"=600ms, "8,8,4"=480ms] \
--chunk_interval [duration of send chunk_size/chunk_interval] \
--words_max_print [max number of words to print] \
--audio_in [if set, loadding from wav.scp, else recording from mircrophone] \
--output_dir [if set, write the results to output_dir] \
--mode [`online` for streaming asr, `offline` for non-streaming, `2pass` for unifying streaming and non-streaming asr] \
--thread_num [thread_num for send data]
--hotword [hotword, *.txt(one hotword perline) or hotwords seperate by space (could be: 阿里巴巴 达摩院)]
--ssl [`1` deflaut, where to connect with ssl, if set `0` to close ssl]

Usage examples

ASR offline client

Recording from mircrophone

# --chunk_interval, "10": 600/10=60ms, "5"=600/5=120ms, "20": 600/12=30ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode offline

Loadding from wav.scp(kaldi style)

# --chunk_interval, "10": 600/10=60ms, "5"=600/5=120ms, "20": 600/12=30ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode offline --audio_in "./data/wav.scp" --output_dir "./results"

ASR streaming client

Recording from mircrophone

# --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode online --chunk_size "5,10,5"

Loadding from wav.scp(kaldi style)

# --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode online --chunk_size "5,10,5" --audio_in "./data/wav.scp" --output_dir "./results"

ASR offline/online 2pass client

Recording from mircrophone

# --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode 2pass --chunk_size "8,8,4"

Loadding from wav.scp(kaldi style)

# --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms
python funasr_wss_client.py --host "0.0.0.0" --port 10095 --mode 2pass --chunk_size "8,8,4" --audio_in "./data/wav.scp" --output_dir "./results"

Websocket api

    # class Funasr_websocket_recognizer example with 3 step
    # 1.create an recognizer 
    rcg=Funasr_websocket_recognizer(host="127.0.0.1",port="30035",is_ssl=True,mode="2pass")
    # 2.send pcm data to asr engine and get asr result
    text=rcg.feed_chunk(data)
    print("text",text)
    # 3.get last result, set timeout=3
    text=rcg.close(timeout=3)
    print("text",text)

Acknowledge

1. This project is maintained by FunASR community.
2. We acknowledge zhaoming for contributing the websocket service.
3. We acknowledge cgisky1980 for contributing the websocket service of offline model.