recog_wav.sh

source

Usage:
    recog_wav.sh [options] <wav_file>

Options:
    --backend <chainer|pytorch>     # chainer or pytorch (Default: pytorch)
    --ngpu <ngpu>                   # Number of GPUs (Default: 0)
    --decode_dir <directory_name>   # Name of directory to store decoding temporary data
    --models <model_name>           # Model name (e.g. tedlium2.transformer.v1)
    --cmvn <path>                   # Location of cmvn.ark
    --lang_model <path>             # Location of language model
    --recog_model <path>            # Location of E2E model
    --decode_config <path>          # Location of configuration file
    --api <api_version>             # API version (v1 or v2, available in only pytorch backend)

Example:
    # Record audio from microphone input as example.wav
    rec -c 1 -r 16000 example.wav trim 0 5

    # Decode using model name
    recog_wav.sh --models tedlium2.transformer.v1 example.wav

    # Decode with streaming mode (only RNN with API v1 is supported)
    recog_wav.sh --models tedlium2.rnn.v2 --api v1 example.wav

    # Decode using model file
    recog_wav.sh --cmvn cmvn.ark --lang_model rnnlm.model.best --recog_model model.acc.best --decode_config conf/decode.yaml example.wav

    # Decode with GPU (require batchsize > 0 in configuration file)
    recog_wav.sh --ngpu 1 example.wav

Available models:
    - tedlium2.rnn.v1
    - tedlium2.rnn.v2
    - tedlium2.transformer.v1
    - tedlium3.transformer.v1
    - librispeech.transformer.v1
    - librispeech.transformer.v1.transformerlm.v1
    - commonvoice.transformer.v1
    - csj.transformer.v1