PaddleSpeech/demos/audio_content_search/README.md

(简体中文|English)

ACS (Audio Content Search)

Introduction

ACS, or Audio Content Search, refers to the problem of getting the key word time stamp from automatically transcribe spoken language (speech-to-text).

This demo is an implementation of obtaining the keyword timestamp in the text from a given audio file. It can be done by a single command or a few lines in python using PaddleSpeech. Now, the search word in demo is:

我
康

Usage

1. Installation

see installation.

You can choose one way from meduim and hard to install paddlespeech.

The dependency refers to the requirements.txt

2. Prepare Input File

The input of this demo should be a WAV file(.wav), and the sample rate must be the same as the model.

Here are sample files for this demo that can be downloaded:

wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav

3. Usage

• Command Line(Recommended)

  # Chinese
  paddlespeech_client acs --server_ip 127.0.0.1 --port 8090 --input ./zh.wav 
  

  Usage:

  paddlespeech asr --help
  

  Arguments:

  • input(required): Audio file to recognize.
  • server_ip: the server ip.
  • port: the server port.
  • lang: the language type of the model. Default: zh.
  • sample_rate: Sample rate of the model. Default: 16000.
  • audio_format: The audio format.

  Output:

  [2022-05-15 15:00:58,185] [    INFO] - acs http client start
  [2022-05-15 15:00:58,185] [    INFO] - endpoint: http://127.0.0.1:8490/paddlespeech/asr/search
  [2022-05-15 15:01:03,220] [    INFO] - acs http client finished
  [2022-05-15 15:01:03,221] [    INFO] - ACS result: {'transcription': '我认为跑步最重要的就是给我带来了身体健康', 'acs': [{'w': '我', 'bg': 0, 'ed': 1.6800000000000002}, {'w': '我', 'bg': 2.1, 'ed': 4.28}, {'w': '康', 'bg': 3.2, 'ed': 4.92}]}
  [2022-05-15 15:01:03,221] [    INFO] - Response time 5.036084 s.
  

• Python API

  from paddlespeech.server.bin.paddlespeech_client import ACSClientExecutor
  
  acs_executor = ACSClientExecutor()
  res = acs_executor(
      input='./zh.wav',
      server_ip="127.0.0.1",
      port=8490,)
  print(res)
  

  Output:

  [2022-05-15 15:08:13,955] [    INFO] - acs http client start
  [2022-05-15 15:08:13,956] [    INFO] - endpoint: http://127.0.0.1:8490/paddlespeech/asr/search
  [2022-05-15 15:08:19,026] [    INFO] - acs http client finished
  {'transcription': '我认为跑步最重要的就是给我带来了身体健康', 'acs': [{'w': '我', 'bg': 0, 'ed': 1.6800000000000002}, {'w': '我', 'bg': 2.1, 'ed': 4.28}, {'w': '康', 'bg': 3.2, 'ed': 4.92}]}